From e748953d0e2ae9144dd6fa4a190fdcd6e3c8e004 Mon Sep 17 00:00:00 2001 From: babayaga Date: Wed, 2 Jul 2025 21:41:48 +0200 Subject: [PATCH] maintainence love:) --- packages/kbot/dist-in/data/openai_models.json | 2 +- .../kbot/dist-in/data/openrouter_models.json | 2050 ++++++++--------- .../dist-in/src/models/cache/openrouter.ts | 2 +- packages/kbot/dist/package-lock.json | 4 +- packages/kbot/dist/package.json | 2 +- packages/kbot/schema.json | 2 +- packages/kbot/schema_ui.json | 2 +- .../models/cache/openrouter-models-free.ts | 2 +- .../src/models/cache/openrouter-models.ts | 52 +- packages/kbot/src/zod_types.ts | 280 ++- 10 files changed, 1263 insertions(+), 1135 deletions(-) diff --git a/packages/kbot/dist-in/data/openai_models.json b/packages/kbot/dist-in/data/openai_models.json index 64bd3f06..cee28afa 100644 --- a/packages/kbot/dist-in/data/openai_models.json +++ b/packages/kbot/dist-in/data/openai_models.json @@ -1,5 +1,5 @@ { - "timestamp": 1751485210107, + "timestamp": 1751485296151, "models": [ { "id": "gpt-4-0613", diff --git a/packages/kbot/dist-in/data/openrouter_models.json b/packages/kbot/dist-in/data/openrouter_models.json index ad3eb73d..e0ca987c 100644 --- a/packages/kbot/dist-in/data/openrouter_models.json +++ b/packages/kbot/dist-in/data/openrouter_models.json @@ -1,5 +1,5 @@ { - "timestamp": 1751485210365, + "timestamp": 1751485296322, "models": [ { "id": "openrouter/cypher-alpha:free", @@ -9218,98 +9218,6 @@ "logprobs" ] }, - { - "id": "anthropic/claude-3.5-haiku:beta", - "canonical_slug": "anthropic/claude-3-5-haiku", - "hugging_face_id": null, - "name": "Anthropic: Claude 3.5 Haiku (self-moderated)", - "created": 1730678400, - "description": "Claude 3.5 Haiku features offers enhanced capabilities in speed, coding accuracy, and tool use. Engineered to excel in real-time applications, it delivers quick response times that are essential for dynamic tasks such as chat interactions and immediate coding suggestions.\n\nThis makes it highly suitable for environments that demand both speed and precision, such as software development, customer service bots, and data management systems.\n\nThis model is currently pointing to [Claude 3.5 Haiku (2024-10-22)](/anthropic/claude-3-5-haiku-20241022).", - "context_length": 200000, - "architecture": { - "modality": "text+image->text", - "input_modalities": [ - "text", - "image" - ], - "output_modalities": [ - "text" - ], - "tokenizer": "Claude", - "instruct_type": null - }, - "pricing": { - "prompt": "0.0000008", - "completion": "0.000004", - "request": "0", - "image": "0", - "web_search": "0", - "internal_reasoning": "0", - "input_cache_read": "0.00000008", - "input_cache_write": "0.000001" - }, - "top_provider": { - "context_length": 200000, - "max_completion_tokens": 8192, - "is_moderated": false - }, - "per_request_limits": null, - "supported_parameters": [ - "max_tokens", - "temperature", - "top_p", - "tools", - "tool_choice", - "top_k", - "stop" - ] - }, - { - "id": "anthropic/claude-3.5-haiku", - "canonical_slug": "anthropic/claude-3-5-haiku", - "hugging_face_id": null, - "name": "Anthropic: Claude 3.5 Haiku", - "created": 1730678400, - "description": "Claude 3.5 Haiku features offers enhanced capabilities in speed, coding accuracy, and tool use. Engineered to excel in real-time applications, it delivers quick response times that are essential for dynamic tasks such as chat interactions and immediate coding suggestions.\n\nThis makes it highly suitable for environments that demand both speed and precision, such as software development, customer service bots, and data management systems.\n\nThis model is currently pointing to [Claude 3.5 Haiku (2024-10-22)](/anthropic/claude-3-5-haiku-20241022).", - "context_length": 200000, - "architecture": { - "modality": "text+image->text", - "input_modalities": [ - "text", - "image" - ], - "output_modalities": [ - "text" - ], - "tokenizer": "Claude", - "instruct_type": null - }, - "pricing": { - "prompt": "0.0000008", - "completion": "0.000004", - "request": "0", - "image": "0", - "web_search": "0", - "internal_reasoning": "0", - "input_cache_read": "0.00000008", - "input_cache_write": "0.000001" - }, - "top_provider": { - "context_length": 200000, - "max_completion_tokens": 8192, - "is_moderated": true - }, - "per_request_limits": null, - "supported_parameters": [ - "max_tokens", - "temperature", - "top_p", - "tools", - "tool_choice", - "top_k", - "stop" - ] - }, { "id": "anthropic/claude-3.5-haiku-20241022:beta", "canonical_slug": "anthropic/claude-3-5-haiku-20241022", @@ -9403,35 +9311,38 @@ ] }, { - "id": "neversleep/llama-3.1-lumimaid-70b", - "canonical_slug": "neversleep/llama-3.1-lumimaid-70b", - "hugging_face_id": "NeverSleep/Lumimaid-v0.2-70B", - "name": "NeverSleep: Lumimaid v0.2 70B", - "created": 1729555200, - "description": "Lumimaid v0.2 70B is a finetune of [Llama 3.1 70B](/meta-llama/llama-3.1-70b-instruct) with a \"HUGE step up dataset wise\" compared to Lumimaid v0.1. Sloppy chats output were purged.\n\nUsage of this model is subject to [Meta's Acceptable Use Policy](https://llama.meta.com/llama3/use-policy/).", - "context_length": 16384, + "id": "anthropic/claude-3.5-haiku:beta", + "canonical_slug": "anthropic/claude-3-5-haiku", + "hugging_face_id": null, + "name": "Anthropic: Claude 3.5 Haiku (self-moderated)", + "created": 1730678400, + "description": "Claude 3.5 Haiku features offers enhanced capabilities in speed, coding accuracy, and tool use. Engineered to excel in real-time applications, it delivers quick response times that are essential for dynamic tasks such as chat interactions and immediate coding suggestions.\n\nThis makes it highly suitable for environments that demand both speed and precision, such as software development, customer service bots, and data management systems.\n\nThis model is currently pointing to [Claude 3.5 Haiku (2024-10-22)](/anthropic/claude-3-5-haiku-20241022).", + "context_length": 200000, "architecture": { - "modality": "text->text", + "modality": "text+image->text", "input_modalities": [ - "text" + "text", + "image" ], "output_modalities": [ "text" ], - "tokenizer": "Llama3", - "instruct_type": "llama3" + "tokenizer": "Claude", + "instruct_type": null }, "pricing": { - "prompt": "0.0000025", - "completion": "0.000003", + "prompt": "0.0000008", + "completion": "0.000004", "request": "0", "image": "0", "web_search": "0", - "internal_reasoning": "0" + "internal_reasoning": "0", + "input_cache_read": "0.00000008", + "input_cache_write": "0.000001" }, "top_provider": { - "context_length": 16384, - "max_completion_tokens": 2048, + "context_length": 200000, + "max_completion_tokens": 8192, "is_moderated": false }, "per_request_limits": null, @@ -9439,15 +9350,56 @@ "max_tokens", "temperature", "top_p", - "stop", - "frequency_penalty", - "presence_penalty", - "repetition_penalty", - "logit_bias", + "tools", + "tool_choice", "top_k", - "min_p", - "seed", - "top_a" + "stop" + ] + }, + { + "id": "anthropic/claude-3.5-haiku", + "canonical_slug": "anthropic/claude-3-5-haiku", + "hugging_face_id": null, + "name": "Anthropic: Claude 3.5 Haiku", + "created": 1730678400, + "description": "Claude 3.5 Haiku features offers enhanced capabilities in speed, coding accuracy, and tool use. Engineered to excel in real-time applications, it delivers quick response times that are essential for dynamic tasks such as chat interactions and immediate coding suggestions.\n\nThis makes it highly suitable for environments that demand both speed and precision, such as software development, customer service bots, and data management systems.\n\nThis model is currently pointing to [Claude 3.5 Haiku (2024-10-22)](/anthropic/claude-3-5-haiku-20241022).", + "context_length": 200000, + "architecture": { + "modality": "text+image->text", + "input_modalities": [ + "text", + "image" + ], + "output_modalities": [ + "text" + ], + "tokenizer": "Claude", + "instruct_type": null + }, + "pricing": { + "prompt": "0.0000008", + "completion": "0.000004", + "request": "0", + "image": "0", + "web_search": "0", + "internal_reasoning": "0", + "input_cache_read": "0.00000008", + "input_cache_write": "0.000001" + }, + "top_provider": { + "context_length": 200000, + "max_completion_tokens": 8192, + "is_moderated": true + }, + "per_request_limits": null, + "supported_parameters": [ + "max_tokens", + "temperature", + "top_p", + "tools", + "tool_choice", + "top_k", + "stop" ] }, { @@ -9498,6 +9450,54 @@ "top_a" ] }, + { + "id": "neversleep/llama-3.1-lumimaid-70b", + "canonical_slug": "neversleep/llama-3.1-lumimaid-70b", + "hugging_face_id": "NeverSleep/Lumimaid-v0.2-70B", + "name": "NeverSleep: Lumimaid v0.2 70B", + "created": 1729555200, + "description": "Lumimaid v0.2 70B is a finetune of [Llama 3.1 70B](/meta-llama/llama-3.1-70b-instruct) with a \"HUGE step up dataset wise\" compared to Lumimaid v0.1. Sloppy chats output were purged.\n\nUsage of this model is subject to [Meta's Acceptable Use Policy](https://llama.meta.com/llama3/use-policy/).", + "context_length": 16384, + "architecture": { + "modality": "text->text", + "input_modalities": [ + "text" + ], + "output_modalities": [ + "text" + ], + "tokenizer": "Llama3", + "instruct_type": "llama3" + }, + "pricing": { + "prompt": "0.0000025", + "completion": "0.000003", + "request": "0", + "image": "0", + "web_search": "0", + "internal_reasoning": "0" + }, + "top_provider": { + "context_length": 16384, + "max_completion_tokens": 2048, + "is_moderated": false + }, + "per_request_limits": null, + "supported_parameters": [ + "max_tokens", + "temperature", + "top_p", + "stop", + "frequency_penalty", + "presence_penalty", + "repetition_penalty", + "logit_bias", + "top_k", + "min_p", + "seed", + "top_a" + ] + }, { "id": "anthropic/claude-3.5-sonnet:beta", "canonical_slug": "anthropic/claude-3.5-sonnet", @@ -9638,53 +9638,6 @@ "response_format" ] }, - { - "id": "mistralai/ministral-8b", - "canonical_slug": "mistralai/ministral-8b", - "hugging_face_id": null, - "name": "Mistral: Ministral 8B", - "created": 1729123200, - "description": "Ministral 8B is an 8B parameter model featuring a unique interleaved sliding-window attention pattern for faster, memory-efficient inference. Designed for edge use cases, it supports up to 128k context length and excels in knowledge and reasoning tasks. It outperforms peers in the sub-10B category, making it perfect for low-latency, privacy-first applications.", - "context_length": 128000, - "architecture": { - "modality": "text->text", - "input_modalities": [ - "text" - ], - "output_modalities": [ - "text" - ], - "tokenizer": "Mistral", - "instruct_type": null - }, - "pricing": { - "prompt": "0.0000001", - "completion": "0.0000001", - "request": "0", - "image": "0", - "web_search": "0", - "internal_reasoning": "0" - }, - "top_provider": { - "context_length": 128000, - "max_completion_tokens": null, - "is_moderated": false - }, - "per_request_limits": null, - "supported_parameters": [ - "max_tokens", - "temperature", - "top_p", - "tools", - "tool_choice", - "stop", - "frequency_penalty", - "presence_penalty", - "response_format", - "structured_outputs", - "seed" - ] - }, { "id": "mistralai/ministral-3b", "canonical_slug": "mistralai/ministral-3b", @@ -9732,6 +9685,53 @@ "seed" ] }, + { + "id": "mistralai/ministral-8b", + "canonical_slug": "mistralai/ministral-8b", + "hugging_face_id": null, + "name": "Mistral: Ministral 8B", + "created": 1729123200, + "description": "Ministral 8B is an 8B parameter model featuring a unique interleaved sliding-window attention pattern for faster, memory-efficient inference. Designed for edge use cases, it supports up to 128k context length and excels in knowledge and reasoning tasks. It outperforms peers in the sub-10B category, making it perfect for low-latency, privacy-first applications.", + "context_length": 128000, + "architecture": { + "modality": "text->text", + "input_modalities": [ + "text" + ], + "output_modalities": [ + "text" + ], + "tokenizer": "Mistral", + "instruct_type": null + }, + "pricing": { + "prompt": "0.0000001", + "completion": "0.0000001", + "request": "0", + "image": "0", + "web_search": "0", + "internal_reasoning": "0" + }, + "top_provider": { + "context_length": 128000, + "max_completion_tokens": null, + "is_moderated": false + }, + "per_request_limits": null, + "supported_parameters": [ + "max_tokens", + "temperature", + "top_p", + "tools", + "tool_choice", + "stop", + "frequency_penalty", + "presence_penalty", + "response_format", + "structured_outputs", + "seed" + ] + }, { "id": "qwen/qwen-2.5-7b-instruct", "canonical_slug": "qwen/qwen-2.5-7b-instruct", @@ -9962,6 +9962,56 @@ "structured_outputs" ] }, + { + "id": "liquid/lfm-40b", + "canonical_slug": "liquid/lfm-40b", + "hugging_face_id": null, + "name": "Liquid: LFM 40B MoE", + "created": 1727654400, + "description": "Liquid's 40.3B Mixture of Experts (MoE) model. Liquid Foundation Models (LFMs) are large neural networks built with computational units rooted in dynamic systems.\n\nLFMs are general-purpose AI models that can be used to model any kind of sequential data, including video, audio, text, time series, and signals.\n\nSee the [launch announcement](https://www.liquid.ai/liquid-foundation-models) for benchmarks and more info.", + "context_length": 32768, + "architecture": { + "modality": "text->text", + "input_modalities": [ + "text" + ], + "output_modalities": [ + "text" + ], + "tokenizer": "Other", + "instruct_type": "chatml" + }, + "pricing": { + "prompt": "0.00000015", + "completion": "0.00000015", + "request": "0", + "image": "0", + "web_search": "0", + "internal_reasoning": "0" + }, + "top_provider": { + "context_length": 32768, + "max_completion_tokens": null, + "is_moderated": false + }, + "per_request_limits": null, + "supported_parameters": [ + "max_tokens", + "temperature", + "top_p", + "stop", + "frequency_penalty", + "presence_penalty", + "seed", + "top_k", + "min_p", + "repetition_penalty", + "logit_bias", + "logprobs", + "top_logprobs", + "response_format" + ] + }, { "id": "thedrummer/rocinante-12b", "canonical_slug": "thedrummer/rocinante-12b", @@ -10059,67 +10109,18 @@ ] }, { - "id": "liquid/lfm-40b", - "canonical_slug": "liquid/lfm-40b", - "hugging_face_id": null, - "name": "Liquid: LFM 40B MoE", - "created": 1727654400, - "description": "Liquid's 40.3B Mixture of Experts (MoE) model. Liquid Foundation Models (LFMs) are large neural networks built with computational units rooted in dynamic systems.\n\nLFMs are general-purpose AI models that can be used to model any kind of sequential data, including video, audio, text, time series, and signals.\n\nSee the [launch announcement](https://www.liquid.ai/liquid-foundation-models) for benchmarks and more info.", - "context_length": 32768, - "architecture": { - "modality": "text->text", - "input_modalities": [ - "text" - ], - "output_modalities": [ - "text" - ], - "tokenizer": "Other", - "instruct_type": "chatml" - }, - "pricing": { - "prompt": "0.00000015", - "completion": "0.00000015", - "request": "0", - "image": "0", - "web_search": "0", - "internal_reasoning": "0" - }, - "top_provider": { - "context_length": 32768, - "max_completion_tokens": null, - "is_moderated": false - }, - "per_request_limits": null, - "supported_parameters": [ - "max_tokens", - "temperature", - "top_p", - "stop", - "frequency_penalty", - "presence_penalty", - "seed", - "top_k", - "min_p", - "repetition_penalty", - "logit_bias", - "logprobs", - "top_logprobs", - "response_format" - ] - }, - { - "id": "meta-llama/llama-3.2-3b-instruct", - "canonical_slug": "meta-llama/llama-3.2-3b-instruct", - "hugging_face_id": "meta-llama/Llama-3.2-3B-Instruct", - "name": "Meta: Llama 3.2 3B Instruct", + "id": "meta-llama/llama-3.2-11b-vision-instruct:free", + "canonical_slug": "meta-llama/llama-3.2-11b-vision-instruct", + "hugging_face_id": "meta-llama/Llama-3.2-11B-Vision-Instruct", + "name": "Meta: Llama 3.2 11B Vision Instruct (free)", "created": 1727222400, - "description": "Llama 3.2 3B is a 3-billion-parameter multilingual large language model, optimized for advanced natural language processing tasks like dialogue generation, reasoning, and summarization. Designed with the latest transformer architecture, it supports eight languages, including English, Spanish, and Hindi, and is adaptable for additional languages.\n\nTrained on 9 trillion tokens, the Llama 3.2 3B model excels in instruction-following, complex reasoning, and tool use. Its balanced performance makes it ideal for applications needing accuracy and efficiency in text generation across multilingual settings.\n\nClick here for the [original model card](https://github.com/meta-llama/llama-models/blob/main/models/llama3_2/MODEL_CARD.md).\n\nUsage of this model is subject to [Meta's Acceptable Use Policy](https://www.llama.com/llama3/use-policy/).", - "context_length": 20000, + "description": "Llama 3.2 11B Vision is a multimodal model with 11 billion parameters, designed to handle tasks combining visual and textual data. It excels in tasks such as image captioning and visual question answering, bridging the gap between language generation and visual reasoning. Pre-trained on a massive dataset of image-text pairs, it performs well in complex, high-accuracy image analysis.\n\nIts ability to integrate visual understanding with language processing makes it an ideal solution for industries requiring comprehensive visual-linguistic AI applications, such as content creation, AI-driven customer service, and research.\n\nClick here for the [original model card](https://github.com/meta-llama/llama-models/blob/main/models/llama3_2/MODEL_CARD_VISION.md).\n\nUsage of this model is subject to [Meta's Acceptable Use Policy](https://www.llama.com/llama3/use-policy/).", + "context_length": 131072, "architecture": { - "modality": "text->text", + "modality": "text+image->text", "input_modalities": [ - "text" + "text", + "image" ], "output_modalities": [ "text" @@ -10128,16 +10129,16 @@ "instruct_type": "llama3" }, "pricing": { - "prompt": "0.000000003", - "completion": "0.000000006", + "prompt": "0", + "completion": "0", "request": "0", "image": "0", "web_search": "0", "internal_reasoning": "0" }, "top_provider": { - "context_length": 20000, - "max_completion_tokens": 20000, + "context_length": 131072, + "max_completion_tokens": 2048, "is_moderated": false }, "per_request_limits": null, @@ -10145,19 +10146,67 @@ "max_tokens", "temperature", "top_p", - "tools", - "tool_choice", "stop", "frequency_penalty", "presence_penalty", - "seed", - "logit_bias", - "logprobs", - "top_logprobs", - "response_format", - "min_p", + "top_k", "repetition_penalty", - "top_k" + "logit_bias", + "min_p", + "response_format" + ] + }, + { + "id": "meta-llama/llama-3.2-11b-vision-instruct", + "canonical_slug": "meta-llama/llama-3.2-11b-vision-instruct", + "hugging_face_id": "meta-llama/Llama-3.2-11B-Vision-Instruct", + "name": "Meta: Llama 3.2 11B Vision Instruct", + "created": 1727222400, + "description": "Llama 3.2 11B Vision is a multimodal model with 11 billion parameters, designed to handle tasks combining visual and textual data. It excels in tasks such as image captioning and visual question answering, bridging the gap between language generation and visual reasoning. Pre-trained on a massive dataset of image-text pairs, it performs well in complex, high-accuracy image analysis.\n\nIts ability to integrate visual understanding with language processing makes it an ideal solution for industries requiring comprehensive visual-linguistic AI applications, such as content creation, AI-driven customer service, and research.\n\nClick here for the [original model card](https://github.com/meta-llama/llama-models/blob/main/models/llama3_2/MODEL_CARD_VISION.md).\n\nUsage of this model is subject to [Meta's Acceptable Use Policy](https://www.llama.com/llama3/use-policy/).", + "context_length": 131072, + "architecture": { + "modality": "text+image->text", + "input_modalities": [ + "text", + "image" + ], + "output_modalities": [ + "text" + ], + "tokenizer": "Llama3", + "instruct_type": "llama3" + }, + "pricing": { + "prompt": "0.000000049", + "completion": "0.000000049", + "request": "0", + "image": "0.00007948", + "web_search": "0", + "internal_reasoning": "0" + }, + "top_provider": { + "context_length": 131072, + "max_completion_tokens": 16384, + "is_moderated": false + }, + "per_request_limits": null, + "supported_parameters": [ + "max_tokens", + "temperature", + "top_p", + "top_k", + "seed", + "repetition_penalty", + "frequency_penalty", + "presence_penalty", + "stop", + "logit_bias", + "min_p", + "response_format", + "top_logprobs", + "tools", + "tool_choice", + "logprobs" ] }, { @@ -10308,18 +10357,17 @@ ] }, { - "id": "meta-llama/llama-3.2-11b-vision-instruct:free", - "canonical_slug": "meta-llama/llama-3.2-11b-vision-instruct", - "hugging_face_id": "meta-llama/Llama-3.2-11B-Vision-Instruct", - "name": "Meta: Llama 3.2 11B Vision Instruct (free)", + "id": "meta-llama/llama-3.2-3b-instruct", + "canonical_slug": "meta-llama/llama-3.2-3b-instruct", + "hugging_face_id": "meta-llama/Llama-3.2-3B-Instruct", + "name": "Meta: Llama 3.2 3B Instruct", "created": 1727222400, - "description": "Llama 3.2 11B Vision is a multimodal model with 11 billion parameters, designed to handle tasks combining visual and textual data. It excels in tasks such as image captioning and visual question answering, bridging the gap between language generation and visual reasoning. Pre-trained on a massive dataset of image-text pairs, it performs well in complex, high-accuracy image analysis.\n\nIts ability to integrate visual understanding with language processing makes it an ideal solution for industries requiring comprehensive visual-linguistic AI applications, such as content creation, AI-driven customer service, and research.\n\nClick here for the [original model card](https://github.com/meta-llama/llama-models/blob/main/models/llama3_2/MODEL_CARD_VISION.md).\n\nUsage of this model is subject to [Meta's Acceptable Use Policy](https://www.llama.com/llama3/use-policy/).", - "context_length": 131072, + "description": "Llama 3.2 3B is a 3-billion-parameter multilingual large language model, optimized for advanced natural language processing tasks like dialogue generation, reasoning, and summarization. Designed with the latest transformer architecture, it supports eight languages, including English, Spanish, and Hindi, and is adaptable for additional languages.\n\nTrained on 9 trillion tokens, the Llama 3.2 3B model excels in instruction-following, complex reasoning, and tool use. Its balanced performance makes it ideal for applications needing accuracy and efficiency in text generation across multilingual settings.\n\nClick here for the [original model card](https://github.com/meta-llama/llama-models/blob/main/models/llama3_2/MODEL_CARD.md).\n\nUsage of this model is subject to [Meta's Acceptable Use Policy](https://www.llama.com/llama3/use-policy/).", + "context_length": 20000, "architecture": { - "modality": "text+image->text", + "modality": "text->text", "input_modalities": [ - "text", - "image" + "text" ], "output_modalities": [ "text" @@ -10328,16 +10376,16 @@ "instruct_type": "llama3" }, "pricing": { - "prompt": "0", - "completion": "0", + "prompt": "0.000000003", + "completion": "0.000000006", "request": "0", "image": "0", "web_search": "0", "internal_reasoning": "0" }, "top_provider": { - "context_length": 131072, - "max_completion_tokens": 2048, + "context_length": 20000, + "max_completion_tokens": 20000, "is_moderated": false }, "per_request_limits": null, @@ -10345,67 +10393,19 @@ "max_tokens", "temperature", "top_p", - "stop", - "frequency_penalty", - "presence_penalty", - "top_k", - "repetition_penalty", - "logit_bias", - "min_p", - "response_format" - ] - }, - { - "id": "meta-llama/llama-3.2-11b-vision-instruct", - "canonical_slug": "meta-llama/llama-3.2-11b-vision-instruct", - "hugging_face_id": "meta-llama/Llama-3.2-11B-Vision-Instruct", - "name": "Meta: Llama 3.2 11B Vision Instruct", - "created": 1727222400, - "description": "Llama 3.2 11B Vision is a multimodal model with 11 billion parameters, designed to handle tasks combining visual and textual data. It excels in tasks such as image captioning and visual question answering, bridging the gap between language generation and visual reasoning. Pre-trained on a massive dataset of image-text pairs, it performs well in complex, high-accuracy image analysis.\n\nIts ability to integrate visual understanding with language processing makes it an ideal solution for industries requiring comprehensive visual-linguistic AI applications, such as content creation, AI-driven customer service, and research.\n\nClick here for the [original model card](https://github.com/meta-llama/llama-models/blob/main/models/llama3_2/MODEL_CARD_VISION.md).\n\nUsage of this model is subject to [Meta's Acceptable Use Policy](https://www.llama.com/llama3/use-policy/).", - "context_length": 131072, - "architecture": { - "modality": "text+image->text", - "input_modalities": [ - "text", - "image" - ], - "output_modalities": [ - "text" - ], - "tokenizer": "Llama3", - "instruct_type": "llama3" - }, - "pricing": { - "prompt": "0.000000049", - "completion": "0.000000049", - "request": "0", - "image": "0.00007948", - "web_search": "0", - "internal_reasoning": "0" - }, - "top_provider": { - "context_length": 131072, - "max_completion_tokens": 16384, - "is_moderated": false - }, - "per_request_limits": null, - "supported_parameters": [ - "max_tokens", - "temperature", - "top_p", - "top_k", - "seed", - "repetition_penalty", - "frequency_penalty", - "presence_penalty", - "stop", - "logit_bias", - "min_p", - "response_format", - "top_logprobs", "tools", "tool_choice", - "logprobs" + "stop", + "frequency_penalty", + "presence_penalty", + "seed", + "logit_bias", + "logprobs", + "top_logprobs", + "response_format", + "min_p", + "repetition_penalty", + "top_k" ] }, { @@ -10559,10 +10559,10 @@ ] }, { - "id": "openai/o1-preview", - "canonical_slug": "openai/o1-preview", + "id": "openai/o1-mini", + "canonical_slug": "openai/o1-mini", "hugging_face_id": null, - "name": "OpenAI: o1-preview", + "name": "OpenAI: o1-mini", "created": 1726099200, "description": "The latest and strongest model family from OpenAI, o1 is designed to spend more time thinking before responding.\n\nThe o1 models are optimized for math, science, programming, and other STEM-related tasks. They consistently exhibit PhD-level accuracy on benchmarks in physics, chemistry, and biology. Learn more in the [launch announcement](https://openai.com/o1).\n\nNote: This model is currently experimental and not suitable for production use-cases, and may be heavily rate-limited.", "context_length": 128000, @@ -10578,17 +10578,17 @@ "instruct_type": null }, "pricing": { - "prompt": "0.000015", - "completion": "0.00006", + "prompt": "0.0000011", + "completion": "0.0000044", "request": "0", "image": "0", "web_search": "0", "internal_reasoning": "0", - "input_cache_read": "0.0000075" + "input_cache_read": "0.00000055" }, "top_provider": { "context_length": 128000, - "max_completion_tokens": 32768, + "max_completion_tokens": 65536, "is_moderated": true }, "per_request_limits": null, @@ -10637,10 +10637,10 @@ ] }, { - "id": "openai/o1-mini", - "canonical_slug": "openai/o1-mini", + "id": "openai/o1-mini-2024-09-12", + "canonical_slug": "openai/o1-mini-2024-09-12", "hugging_face_id": null, - "name": "OpenAI: o1-mini", + "name": "OpenAI: o1-mini (2024-09-12)", "created": 1726099200, "description": "The latest and strongest model family from OpenAI, o1 is designed to spend more time thinking before responding.\n\nThe o1 models are optimized for math, science, programming, and other STEM-related tasks. They consistently exhibit PhD-level accuracy on benchmarks in physics, chemistry, and biology. Learn more in the [launch announcement](https://openai.com/o1).\n\nNote: This model is currently experimental and not suitable for production use-cases, and may be heavily rate-limited.", "context_length": 128000, @@ -10676,10 +10676,10 @@ ] }, { - "id": "openai/o1-mini-2024-09-12", - "canonical_slug": "openai/o1-mini-2024-09-12", + "id": "openai/o1-preview", + "canonical_slug": "openai/o1-preview", "hugging_face_id": null, - "name": "OpenAI: o1-mini (2024-09-12)", + "name": "OpenAI: o1-preview", "created": 1726099200, "description": "The latest and strongest model family from OpenAI, o1 is designed to spend more time thinking before responding.\n\nThe o1 models are optimized for math, science, programming, and other STEM-related tasks. They consistently exhibit PhD-level accuracy on benchmarks in physics, chemistry, and biology. Learn more in the [launch announcement](https://openai.com/o1).\n\nNote: This model is currently experimental and not suitable for production use-cases, and may be heavily rate-limited.", "context_length": 128000, @@ -10695,17 +10695,17 @@ "instruct_type": null }, "pricing": { - "prompt": "0.0000011", - "completion": "0.0000044", + "prompt": "0.000015", + "completion": "0.00006", "request": "0", "image": "0", "web_search": "0", "internal_reasoning": "0", - "input_cache_read": "0.00000055" + "input_cache_read": "0.0000075" }, "top_provider": { "context_length": 128000, - "max_completion_tokens": 65536, + "max_completion_tokens": 32768, "is_moderated": true }, "per_request_limits": null, @@ -10768,6 +10768,53 @@ "structured_outputs" ] }, + { + "id": "cohere/command-r-08-2024", + "canonical_slug": "cohere/command-r-08-2024", + "hugging_face_id": null, + "name": "Cohere: Command R (08-2024)", + "created": 1724976000, + "description": "command-r-08-2024 is an update of the [Command R](/models/cohere/command-r) with improved performance for multilingual retrieval-augmented generation (RAG) and tool use. More broadly, it is better at math, code and reasoning and is competitive with the previous version of the larger Command R+ model.\n\nRead the launch post [here](https://docs.cohere.com/changelog/command-gets-refreshed).\n\nUse of this model is subject to Cohere's [Usage Policy](https://docs.cohere.com/docs/usage-policy) and [SaaS Agreement](https://cohere.com/saas-agreement).", + "context_length": 128000, + "architecture": { + "modality": "text->text", + "input_modalities": [ + "text" + ], + "output_modalities": [ + "text" + ], + "tokenizer": "Cohere", + "instruct_type": null + }, + "pricing": { + "prompt": "0.00000015", + "completion": "0.0000006", + "request": "0", + "image": "0", + "web_search": "0", + "internal_reasoning": "0" + }, + "top_provider": { + "context_length": 128000, + "max_completion_tokens": 4000, + "is_moderated": true + }, + "per_request_limits": null, + "supported_parameters": [ + "max_tokens", + "temperature", + "top_p", + "tools", + "stop", + "frequency_penalty", + "presence_penalty", + "top_k", + "seed", + "response_format", + "structured_outputs" + ] + }, { "id": "cohere/command-r-plus-08-2024", "canonical_slug": "cohere/command-r-plus-08-2024", @@ -10816,13 +10863,13 @@ ] }, { - "id": "cohere/command-r-08-2024", - "canonical_slug": "cohere/command-r-08-2024", - "hugging_face_id": null, - "name": "Cohere: Command R (08-2024)", - "created": 1724976000, - "description": "command-r-08-2024 is an update of the [Command R](/models/cohere/command-r) with improved performance for multilingual retrieval-augmented generation (RAG) and tool use. More broadly, it is better at math, code and reasoning and is competitive with the previous version of the larger Command R+ model.\n\nRead the launch post [here](https://docs.cohere.com/changelog/command-gets-refreshed).\n\nUse of this model is subject to Cohere's [Usage Policy](https://docs.cohere.com/docs/usage-policy) and [SaaS Agreement](https://cohere.com/saas-agreement).", - "context_length": 128000, + "id": "sao10k/l3.1-euryale-70b", + "canonical_slug": "sao10k/l3.1-euryale-70b", + "hugging_face_id": "Sao10K/L3.1-70B-Euryale-v2.2", + "name": "Sao10K: Llama 3.1 Euryale 70B v2.2", + "created": 1724803200, + "description": "Euryale L3.1 70B v2.2 is a model focused on creative roleplay from [Sao10k](https://ko-fi.com/sao10k). It is the successor of [Euryale L3 70B v2.1](/models/sao10k/l3-euryale-70b).", + "context_length": 32768, "architecture": { "modality": "text->text", "input_modalities": [ @@ -10831,35 +10878,37 @@ "output_modalities": [ "text" ], - "tokenizer": "Cohere", - "instruct_type": null + "tokenizer": "Llama3", + "instruct_type": "llama3" }, "pricing": { - "prompt": "0.00000015", - "completion": "0.0000006", + "prompt": "0.00000065", + "completion": "0.00000075", "request": "0", "image": "0", "web_search": "0", "internal_reasoning": "0" }, "top_provider": { - "context_length": 128000, - "max_completion_tokens": 4000, - "is_moderated": true + "context_length": 32768, + "max_completion_tokens": null, + "is_moderated": false }, "per_request_limits": null, "supported_parameters": [ "max_tokens", "temperature", "top_p", - "tools", "stop", "frequency_penalty", "presence_penalty", - "top_k", - "seed", "response_format", - "structured_outputs" + "structured_outputs", + "seed", + "top_k", + "min_p", + "repetition_penalty", + "logit_bias" ] }, { @@ -10912,55 +10961,6 @@ "seed" ] }, - { - "id": "sao10k/l3.1-euryale-70b", - "canonical_slug": "sao10k/l3.1-euryale-70b", - "hugging_face_id": "Sao10K/L3.1-70B-Euryale-v2.2", - "name": "Sao10K: Llama 3.1 Euryale 70B v2.2", - "created": 1724803200, - "description": "Euryale L3.1 70B v2.2 is a model focused on creative roleplay from [Sao10k](https://ko-fi.com/sao10k). It is the successor of [Euryale L3 70B v2.1](/models/sao10k/l3-euryale-70b).", - "context_length": 32768, - "architecture": { - "modality": "text->text", - "input_modalities": [ - "text" - ], - "output_modalities": [ - "text" - ], - "tokenizer": "Llama3", - "instruct_type": "llama3" - }, - "pricing": { - "prompt": "0.00000065", - "completion": "0.00000075", - "request": "0", - "image": "0", - "web_search": "0", - "internal_reasoning": "0" - }, - "top_provider": { - "context_length": 32768, - "max_completion_tokens": null, - "is_moderated": false - }, - "per_request_limits": null, - "supported_parameters": [ - "max_tokens", - "temperature", - "top_p", - "stop", - "frequency_penalty", - "presence_penalty", - "response_format", - "structured_outputs", - "seed", - "top_k", - "min_p", - "repetition_penalty", - "logit_bias" - ] - }, { "id": "microsoft/phi-3.5-mini-128k-instruct", "canonical_slug": "microsoft/phi-3.5-mini-128k-instruct", @@ -11301,6 +11301,52 @@ "structured_outputs" ] }, + { + "id": "nothingiisreal/mn-celeste-12b", + "canonical_slug": "nothingiisreal/mn-celeste-12b", + "hugging_face_id": "nothingiisreal/MN-12B-Celeste-V1.9", + "name": "Mistral Nemo 12B Celeste", + "created": 1722556800, + "description": "A specialized story writing and roleplaying model based on Mistral's NeMo 12B Instruct. Fine-tuned on curated datasets including Reddit Writing Prompts and Opus Instruct 25K.\n\nThis model excels at creative writing, offering improved NSFW capabilities, with smarter and more active narration. It demonstrates remarkable versatility in both SFW and NSFW scenarios, with strong Out of Character (OOC) steering capabilities, allowing fine-tuned control over narrative direction and character behavior.\n\nCheck out the model's [HuggingFace page](https://huggingface.co/nothingiisreal/MN-12B-Celeste-V1.9) for details on what parameters and prompts work best!", + "context_length": 16384, + "architecture": { + "modality": "text->text", + "input_modalities": [ + "text" + ], + "output_modalities": [ + "text" + ], + "tokenizer": "Mistral", + "instruct_type": "chatml" + }, + "pricing": { + "prompt": "0.0000008", + "completion": "0.0000012", + "request": "0", + "image": "0", + "web_search": "0", + "internal_reasoning": "0" + }, + "top_provider": { + "context_length": 16384, + "max_completion_tokens": 4096, + "is_moderated": false + }, + "per_request_limits": null, + "supported_parameters": [ + "max_tokens", + "temperature", + "top_p", + "stop", + "frequency_penalty", + "presence_penalty", + "repetition_penalty", + "top_k", + "min_p", + "seed" + ] + }, { "id": "meta-llama/llama-3.1-405b", "canonical_slug": "meta-llama/llama-3.1-405b", @@ -11350,52 +11396,6 @@ "repetition_penalty" ] }, - { - "id": "nothingiisreal/mn-celeste-12b", - "canonical_slug": "nothingiisreal/mn-celeste-12b", - "hugging_face_id": "nothingiisreal/MN-12B-Celeste-V1.9", - "name": "Mistral Nemo 12B Celeste", - "created": 1722556800, - "description": "A specialized story writing and roleplaying model based on Mistral's NeMo 12B Instruct. Fine-tuned on curated datasets including Reddit Writing Prompts and Opus Instruct 25K.\n\nThis model excels at creative writing, offering improved NSFW capabilities, with smarter and more active narration. It demonstrates remarkable versatility in both SFW and NSFW scenarios, with strong Out of Character (OOC) steering capabilities, allowing fine-tuned control over narrative direction and character behavior.\n\nCheck out the model's [HuggingFace page](https://huggingface.co/nothingiisreal/MN-12B-Celeste-V1.9) for details on what parameters and prompts work best!", - "context_length": 16384, - "architecture": { - "modality": "text->text", - "input_modalities": [ - "text" - ], - "output_modalities": [ - "text" - ], - "tokenizer": "Mistral", - "instruct_type": "chatml" - }, - "pricing": { - "prompt": "0.0000008", - "completion": "0.0000012", - "request": "0", - "image": "0", - "web_search": "0", - "internal_reasoning": "0" - }, - "top_provider": { - "context_length": 16384, - "max_completion_tokens": 4096, - "is_moderated": false - }, - "per_request_limits": null, - "supported_parameters": [ - "max_tokens", - "temperature", - "top_p", - "stop", - "frequency_penalty", - "presence_penalty", - "repetition_penalty", - "top_k", - "min_p", - "seed" - ] - }, { "id": "perplexity/llama-3.1-sonar-small-128k-online", "canonical_slug": "perplexity/llama-3.1-sonar-small-128k-online", @@ -11480,6 +11480,112 @@ "presence_penalty" ] }, + { + "id": "meta-llama/llama-3.1-70b-instruct", + "canonical_slug": "meta-llama/llama-3.1-70b-instruct", + "hugging_face_id": "meta-llama/Meta-Llama-3.1-70B-Instruct", + "name": "Meta: Llama 3.1 70B Instruct", + "created": 1721692800, + "description": "Meta's latest class of model (Llama 3.1) launched with a variety of sizes & flavors. This 70B instruct-tuned version is optimized for high quality dialogue usecases.\n\nIt has demonstrated strong performance compared to leading closed-source models in human evaluations.\n\nTo read more about the model release, [click here](https://ai.meta.com/blog/meta-llama-3-1/). Usage of this model is subject to [Meta's Acceptable Use Policy](https://llama.meta.com/llama3/use-policy/).", + "context_length": 131072, + "architecture": { + "modality": "text->text", + "input_modalities": [ + "text" + ], + "output_modalities": [ + "text" + ], + "tokenizer": "Llama3", + "instruct_type": "llama3" + }, + "pricing": { + "prompt": "0.0000001", + "completion": "0.00000028", + "request": "0", + "image": "0", + "web_search": "0", + "internal_reasoning": "0" + }, + "top_provider": { + "context_length": 131072, + "max_completion_tokens": 16384, + "is_moderated": false + }, + "per_request_limits": null, + "supported_parameters": [ + "max_tokens", + "temperature", + "top_p", + "tools", + "tool_choice", + "response_format", + "stop", + "frequency_penalty", + "presence_penalty", + "repetition_penalty", + "top_k", + "seed", + "min_p", + "logit_bias", + "logprobs", + "top_logprobs", + "structured_outputs" + ] + }, + { + "id": "meta-llama/llama-3.1-405b-instruct", + "canonical_slug": "meta-llama/llama-3.1-405b-instruct", + "hugging_face_id": "meta-llama/Meta-Llama-3.1-405B-Instruct", + "name": "Meta: Llama 3.1 405B Instruct", + "created": 1721692800, + "description": "The highly anticipated 400B class of Llama3 is here! Clocking in at 128k context with impressive eval scores, the Meta AI team continues to push the frontier of open-source LLMs.\n\nMeta's latest class of model (Llama 3.1) launched with a variety of sizes & flavors. This 405B instruct-tuned version is optimized for high quality dialogue usecases.\n\nIt has demonstrated strong performance compared to leading closed-source models including GPT-4o and Claude 3.5 Sonnet in evaluations.\n\nTo read more about the model release, [click here](https://ai.meta.com/blog/meta-llama-3-1/). Usage of this model is subject to [Meta's Acceptable Use Policy](https://llama.meta.com/llama3/use-policy/).", + "context_length": 32768, + "architecture": { + "modality": "text->text", + "input_modalities": [ + "text" + ], + "output_modalities": [ + "text" + ], + "tokenizer": "Llama3", + "instruct_type": "llama3" + }, + "pricing": { + "prompt": "0.0000008", + "completion": "0.0000008", + "request": "0", + "image": "0", + "web_search": "0", + "internal_reasoning": "0" + }, + "top_provider": { + "context_length": 32768, + "max_completion_tokens": 16384, + "is_moderated": false + }, + "per_request_limits": null, + "supported_parameters": [ + "max_tokens", + "temperature", + "top_p", + "tools", + "tool_choice", + "stop", + "frequency_penalty", + "presence_penalty", + "top_k", + "repetition_penalty", + "response_format", + "structured_outputs", + "logit_bias", + "logprobs", + "top_logprobs", + "min_p", + "seed" + ] + }, { "id": "meta-llama/llama-3.1-8b-instruct:free", "canonical_slug": "meta-llama/llama-3.1-8b-instruct", @@ -11582,112 +11688,6 @@ "structured_outputs" ] }, - { - "id": "meta-llama/llama-3.1-405b-instruct", - "canonical_slug": "meta-llama/llama-3.1-405b-instruct", - "hugging_face_id": "meta-llama/Meta-Llama-3.1-405B-Instruct", - "name": "Meta: Llama 3.1 405B Instruct", - "created": 1721692800, - "description": "The highly anticipated 400B class of Llama3 is here! Clocking in at 128k context with impressive eval scores, the Meta AI team continues to push the frontier of open-source LLMs.\n\nMeta's latest class of model (Llama 3.1) launched with a variety of sizes & flavors. This 405B instruct-tuned version is optimized for high quality dialogue usecases.\n\nIt has demonstrated strong performance compared to leading closed-source models including GPT-4o and Claude 3.5 Sonnet in evaluations.\n\nTo read more about the model release, [click here](https://ai.meta.com/blog/meta-llama-3-1/). Usage of this model is subject to [Meta's Acceptable Use Policy](https://llama.meta.com/llama3/use-policy/).", - "context_length": 32768, - "architecture": { - "modality": "text->text", - "input_modalities": [ - "text" - ], - "output_modalities": [ - "text" - ], - "tokenizer": "Llama3", - "instruct_type": "llama3" - }, - "pricing": { - "prompt": "0.0000008", - "completion": "0.0000008", - "request": "0", - "image": "0", - "web_search": "0", - "internal_reasoning": "0" - }, - "top_provider": { - "context_length": 32768, - "max_completion_tokens": 16384, - "is_moderated": false - }, - "per_request_limits": null, - "supported_parameters": [ - "max_tokens", - "temperature", - "top_p", - "tools", - "tool_choice", - "stop", - "frequency_penalty", - "presence_penalty", - "top_k", - "repetition_penalty", - "response_format", - "structured_outputs", - "logit_bias", - "logprobs", - "top_logprobs", - "min_p", - "seed" - ] - }, - { - "id": "meta-llama/llama-3.1-70b-instruct", - "canonical_slug": "meta-llama/llama-3.1-70b-instruct", - "hugging_face_id": "meta-llama/Meta-Llama-3.1-70B-Instruct", - "name": "Meta: Llama 3.1 70B Instruct", - "created": 1721692800, - "description": "Meta's latest class of model (Llama 3.1) launched with a variety of sizes & flavors. This 70B instruct-tuned version is optimized for high quality dialogue usecases.\n\nIt has demonstrated strong performance compared to leading closed-source models in human evaluations.\n\nTo read more about the model release, [click here](https://ai.meta.com/blog/meta-llama-3-1/). Usage of this model is subject to [Meta's Acceptable Use Policy](https://llama.meta.com/llama3/use-policy/).", - "context_length": 131072, - "architecture": { - "modality": "text->text", - "input_modalities": [ - "text" - ], - "output_modalities": [ - "text" - ], - "tokenizer": "Llama3", - "instruct_type": "llama3" - }, - "pricing": { - "prompt": "0.0000001", - "completion": "0.00000028", - "request": "0", - "image": "0", - "web_search": "0", - "internal_reasoning": "0" - }, - "top_provider": { - "context_length": 131072, - "max_completion_tokens": 16384, - "is_moderated": false - }, - "per_request_limits": null, - "supported_parameters": [ - "max_tokens", - "temperature", - "top_p", - "tools", - "tool_choice", - "response_format", - "stop", - "frequency_penalty", - "presence_penalty", - "repetition_penalty", - "top_k", - "seed", - "min_p", - "logit_bias", - "logprobs", - "top_logprobs", - "structured_outputs" - ] - }, { "id": "mistralai/mistral-nemo:free", "canonical_slug": "mistralai/mistral-nemo", @@ -11790,60 +11790,6 @@ "structured_outputs" ] }, - { - "id": "openai/gpt-4o-mini", - "canonical_slug": "openai/gpt-4o-mini", - "hugging_face_id": null, - "name": "OpenAI: GPT-4o-mini", - "created": 1721260800, - "description": "GPT-4o mini is OpenAI's newest model after [GPT-4 Omni](/models/openai/gpt-4o), supporting both text and image inputs with text outputs.\n\nAs their most advanced small model, it is many multiples more affordable than other recent frontier models, and more than 60% cheaper than [GPT-3.5 Turbo](/models/openai/gpt-3.5-turbo). It maintains SOTA intelligence, while being significantly more cost-effective.\n\nGPT-4o mini achieves an 82% score on MMLU and presently ranks higher than GPT-4 on chat preferences [common leaderboards](https://arena.lmsys.org/).\n\nCheck out the [launch announcement](https://openai.com/index/gpt-4o-mini-advancing-cost-efficient-intelligence/) to learn more.\n\n#multimodal", - "context_length": 128000, - "architecture": { - "modality": "text+image->text", - "input_modalities": [ - "text", - "image", - "file" - ], - "output_modalities": [ - "text" - ], - "tokenizer": "GPT", - "instruct_type": null - }, - "pricing": { - "prompt": "0.00000015", - "completion": "0.0000006", - "request": "0", - "image": "0.000217", - "web_search": "0", - "internal_reasoning": "0", - "input_cache_read": "0.000000075" - }, - "top_provider": { - "context_length": 128000, - "max_completion_tokens": 16384, - "is_moderated": true - }, - "per_request_limits": null, - "supported_parameters": [ - "max_tokens", - "temperature", - "top_p", - "stop", - "frequency_penalty", - "presence_penalty", - "web_search_options", - "seed", - "logit_bias", - "logprobs", - "top_logprobs", - "response_format", - "structured_outputs", - "tools", - "tool_choice" - ] - }, { "id": "openai/gpt-4o-mini-2024-07-18", "canonical_slug": "openai/gpt-4o-mini-2024-07-18", @@ -11898,6 +11844,60 @@ "structured_outputs" ] }, + { + "id": "openai/gpt-4o-mini", + "canonical_slug": "openai/gpt-4o-mini", + "hugging_face_id": null, + "name": "OpenAI: GPT-4o-mini", + "created": 1721260800, + "description": "GPT-4o mini is OpenAI's newest model after [GPT-4 Omni](/models/openai/gpt-4o), supporting both text and image inputs with text outputs.\n\nAs their most advanced small model, it is many multiples more affordable than other recent frontier models, and more than 60% cheaper than [GPT-3.5 Turbo](/models/openai/gpt-3.5-turbo). It maintains SOTA intelligence, while being significantly more cost-effective.\n\nGPT-4o mini achieves an 82% score on MMLU and presently ranks higher than GPT-4 on chat preferences [common leaderboards](https://arena.lmsys.org/).\n\nCheck out the [launch announcement](https://openai.com/index/gpt-4o-mini-advancing-cost-efficient-intelligence/) to learn more.\n\n#multimodal", + "context_length": 128000, + "architecture": { + "modality": "text+image->text", + "input_modalities": [ + "text", + "image", + "file" + ], + "output_modalities": [ + "text" + ], + "tokenizer": "GPT", + "instruct_type": null + }, + "pricing": { + "prompt": "0.00000015", + "completion": "0.0000006", + "request": "0", + "image": "0.000217", + "web_search": "0", + "internal_reasoning": "0", + "input_cache_read": "0.000000075" + }, + "top_provider": { + "context_length": 128000, + "max_completion_tokens": 16384, + "is_moderated": true + }, + "per_request_limits": null, + "supported_parameters": [ + "max_tokens", + "temperature", + "top_p", + "stop", + "frequency_penalty", + "presence_penalty", + "web_search_options", + "seed", + "logit_bias", + "logprobs", + "top_logprobs", + "response_format", + "structured_outputs", + "tools", + "tool_choice" + ] + }, { "id": "google/gemma-2-27b-it", "canonical_slug": "google/gemma-2-27b-it", @@ -12369,6 +12369,107 @@ "response_format" ] }, + { + "id": "mistralai/mistral-7b-instruct-v0.3", + "canonical_slug": "mistralai/mistral-7b-instruct-v0.3", + "hugging_face_id": "mistralai/Mistral-7B-Instruct-v0.3", + "name": "Mistral: Mistral 7B Instruct v0.3", + "created": 1716768000, + "description": "A high-performing, industry-standard 7.3B parameter model, with optimizations for speed and context length.\n\nAn improved version of [Mistral 7B Instruct v0.2](/models/mistralai/mistral-7b-instruct-v0.2), with the following changes:\n\n- Extended vocabulary to 32768\n- Supports v3 Tokenizer\n- Supports function calling\n\nNOTE: Support for function calling depends on the provider.", + "context_length": 32768, + "architecture": { + "modality": "text->text", + "input_modalities": [ + "text" + ], + "output_modalities": [ + "text" + ], + "tokenizer": "Mistral", + "instruct_type": "mistral" + }, + "pricing": { + "prompt": "0.000000028", + "completion": "0.000000054", + "request": "0", + "image": "0", + "web_search": "0", + "internal_reasoning": "0" + }, + "top_provider": { + "context_length": 32768, + "max_completion_tokens": 16384, + "is_moderated": false + }, + "per_request_limits": null, + "supported_parameters": [ + "max_tokens", + "temperature", + "top_p", + "stop", + "frequency_penalty", + "presence_penalty", + "top_k", + "repetition_penalty", + "logit_bias", + "min_p", + "response_format", + "seed", + "tools", + "tool_choice", + "logprobs" + ] + }, + { + "id": "nousresearch/hermes-2-pro-llama-3-8b", + "canonical_slug": "nousresearch/hermes-2-pro-llama-3-8b", + "hugging_face_id": "NousResearch/Hermes-2-Pro-Llama-3-8B", + "name": "NousResearch: Hermes 2 Pro - Llama-3 8B", + "created": 1716768000, + "description": "Hermes 2 Pro is an upgraded, retrained version of Nous Hermes 2, consisting of an updated and cleaned version of the OpenHermes 2.5 Dataset, as well as a newly introduced Function Calling and JSON Mode dataset developed in-house.", + "context_length": 131072, + "architecture": { + "modality": "text->text", + "input_modalities": [ + "text" + ], + "output_modalities": [ + "text" + ], + "tokenizer": "Llama3", + "instruct_type": "chatml" + }, + "pricing": { + "prompt": "0.000000025", + "completion": "0.00000004", + "request": "0", + "image": "0", + "web_search": "0", + "internal_reasoning": "0" + }, + "top_provider": { + "context_length": 131072, + "max_completion_tokens": 131072, + "is_moderated": false + }, + "per_request_limits": null, + "supported_parameters": [ + "max_tokens", + "temperature", + "top_p", + "stop", + "frequency_penalty", + "presence_penalty", + "seed", + "logit_bias", + "logprobs", + "top_logprobs", + "response_format", + "min_p", + "repetition_penalty", + "top_k" + ] + }, { "id": "mistralai/mistral-7b-instruct:free", "canonical_slug": "mistralai/mistral-7b-instruct", @@ -12469,107 +12570,6 @@ "tool_choice" ] }, - { - "id": "nousresearch/hermes-2-pro-llama-3-8b", - "canonical_slug": "nousresearch/hermes-2-pro-llama-3-8b", - "hugging_face_id": "NousResearch/Hermes-2-Pro-Llama-3-8B", - "name": "NousResearch: Hermes 2 Pro - Llama-3 8B", - "created": 1716768000, - "description": "Hermes 2 Pro is an upgraded, retrained version of Nous Hermes 2, consisting of an updated and cleaned version of the OpenHermes 2.5 Dataset, as well as a newly introduced Function Calling and JSON Mode dataset developed in-house.", - "context_length": 131072, - "architecture": { - "modality": "text->text", - "input_modalities": [ - "text" - ], - "output_modalities": [ - "text" - ], - "tokenizer": "Llama3", - "instruct_type": "chatml" - }, - "pricing": { - "prompt": "0.000000025", - "completion": "0.00000004", - "request": "0", - "image": "0", - "web_search": "0", - "internal_reasoning": "0" - }, - "top_provider": { - "context_length": 131072, - "max_completion_tokens": 131072, - "is_moderated": false - }, - "per_request_limits": null, - "supported_parameters": [ - "max_tokens", - "temperature", - "top_p", - "stop", - "frequency_penalty", - "presence_penalty", - "seed", - "logit_bias", - "logprobs", - "top_logprobs", - "response_format", - "min_p", - "repetition_penalty", - "top_k" - ] - }, - { - "id": "mistralai/mistral-7b-instruct-v0.3", - "canonical_slug": "mistralai/mistral-7b-instruct-v0.3", - "hugging_face_id": "mistralai/Mistral-7B-Instruct-v0.3", - "name": "Mistral: Mistral 7B Instruct v0.3", - "created": 1716768000, - "description": "A high-performing, industry-standard 7.3B parameter model, with optimizations for speed and context length.\n\nAn improved version of [Mistral 7B Instruct v0.2](/models/mistralai/mistral-7b-instruct-v0.2), with the following changes:\n\n- Extended vocabulary to 32768\n- Supports v3 Tokenizer\n- Supports function calling\n\nNOTE: Support for function calling depends on the provider.", - "context_length": 32768, - "architecture": { - "modality": "text->text", - "input_modalities": [ - "text" - ], - "output_modalities": [ - "text" - ], - "tokenizer": "Mistral", - "instruct_type": "mistral" - }, - "pricing": { - "prompt": "0.000000028", - "completion": "0.000000054", - "request": "0", - "image": "0", - "web_search": "0", - "internal_reasoning": "0" - }, - "top_provider": { - "context_length": 32768, - "max_completion_tokens": 16384, - "is_moderated": false - }, - "per_request_limits": null, - "supported_parameters": [ - "max_tokens", - "temperature", - "top_p", - "stop", - "frequency_penalty", - "presence_penalty", - "top_k", - "repetition_penalty", - "logit_bias", - "min_p", - "response_format", - "seed", - "tools", - "tool_choice", - "logprobs" - ] - }, { "id": "microsoft/phi-3-mini-128k-instruct", "canonical_slug": "microsoft/phi-3-mini-128k-instruct", @@ -12748,6 +12748,53 @@ "structured_outputs" ] }, + { + "id": "meta-llama/llama-guard-2-8b", + "canonical_slug": "meta-llama/llama-guard-2-8b", + "hugging_face_id": "meta-llama/Meta-Llama-Guard-2-8B", + "name": "Meta: LlamaGuard 2 8B", + "created": 1715558400, + "description": "This safeguard model has 8B parameters and is based on the Llama 3 family. Just like is predecessor, [LlamaGuard 1](https://huggingface.co/meta-llama/LlamaGuard-7b), it can do both prompt and response classification.\n\nLlamaGuard 2 acts as a normal LLM would, generating text that indicates whether the given input/output is safe/unsafe. If deemed unsafe, it will also share the content categories violated.\n\nFor best results, please use raw prompt input or the `/completions` endpoint, instead of the chat API.\n\nIt has demonstrated strong performance compared to leading closed-source models in human evaluations.\n\nTo read more about the model release, [click here](https://ai.meta.com/blog/meta-llama-3/). Usage of this model is subject to [Meta's Acceptable Use Policy](https://llama.meta.com/llama3/use-policy/).", + "context_length": 8192, + "architecture": { + "modality": "text->text", + "input_modalities": [ + "text" + ], + "output_modalities": [ + "text" + ], + "tokenizer": "Llama3", + "instruct_type": "none" + }, + "pricing": { + "prompt": "0.0000002", + "completion": "0.0000002", + "request": "0", + "image": "0", + "web_search": "0", + "internal_reasoning": "0" + }, + "top_provider": { + "context_length": 8192, + "max_completion_tokens": null, + "is_moderated": false + }, + "per_request_limits": null, + "supported_parameters": [ + "max_tokens", + "temperature", + "top_p", + "stop", + "frequency_penalty", + "presence_penalty", + "top_k", + "repetition_penalty", + "logit_bias", + "min_p", + "response_format" + ] + }, { "id": "openai/gpt-4o", "canonical_slug": "openai/gpt-4o", @@ -12855,53 +12902,6 @@ "structured_outputs" ] }, - { - "id": "meta-llama/llama-guard-2-8b", - "canonical_slug": "meta-llama/llama-guard-2-8b", - "hugging_face_id": "meta-llama/Meta-Llama-Guard-2-8B", - "name": "Meta: LlamaGuard 2 8B", - "created": 1715558400, - "description": "This safeguard model has 8B parameters and is based on the Llama 3 family. Just like is predecessor, [LlamaGuard 1](https://huggingface.co/meta-llama/LlamaGuard-7b), it can do both prompt and response classification.\n\nLlamaGuard 2 acts as a normal LLM would, generating text that indicates whether the given input/output is safe/unsafe. If deemed unsafe, it will also share the content categories violated.\n\nFor best results, please use raw prompt input or the `/completions` endpoint, instead of the chat API.\n\nIt has demonstrated strong performance compared to leading closed-source models in human evaluations.\n\nTo read more about the model release, [click here](https://ai.meta.com/blog/meta-llama-3/). Usage of this model is subject to [Meta's Acceptable Use Policy](https://llama.meta.com/llama3/use-policy/).", - "context_length": 8192, - "architecture": { - "modality": "text->text", - "input_modalities": [ - "text" - ], - "output_modalities": [ - "text" - ], - "tokenizer": "Llama3", - "instruct_type": "none" - }, - "pricing": { - "prompt": "0.0000002", - "completion": "0.0000002", - "request": "0", - "image": "0", - "web_search": "0", - "internal_reasoning": "0" - }, - "top_provider": { - "context_length": 8192, - "max_completion_tokens": null, - "is_moderated": false - }, - "per_request_limits": null, - "supported_parameters": [ - "max_tokens", - "temperature", - "top_p", - "stop", - "frequency_penalty", - "presence_penalty", - "top_k", - "repetition_penalty", - "logit_bias", - "min_p", - "response_format" - ] - }, { "id": "openai/gpt-4o-2024-05-13", "canonical_slug": "openai/gpt-4o-2024-05-13", @@ -13254,54 +13254,6 @@ "response_format" ] }, - { - "id": "google/gemini-pro-1.5", - "canonical_slug": "google/gemini-pro-1.5", - "hugging_face_id": null, - "name": "Google: Gemini 1.5 Pro", - "created": 1712620800, - "description": "Google's latest multimodal model, supports image and video[0] in text or chat prompts.\n\nOptimized for language tasks including:\n\n- Code generation\n- Text generation\n- Text editing\n- Problem solving\n- Recommendations\n- Information extraction\n- Data extraction or generation\n- AI agents\n\nUsage of Gemini is subject to Google's [Gemini Terms of Use](https://ai.google.dev/terms).\n\n* [0]: Video input is not available through OpenRouter at this time.", - "context_length": 2000000, - "architecture": { - "modality": "text+image->text", - "input_modalities": [ - "text", - "image" - ], - "output_modalities": [ - "text" - ], - "tokenizer": "Gemini", - "instruct_type": null - }, - "pricing": { - "prompt": "0.00000125", - "completion": "0.000005", - "request": "0", - "image": "0.0006575", - "web_search": "0", - "internal_reasoning": "0" - }, - "top_provider": { - "context_length": 2000000, - "max_completion_tokens": 8192, - "is_moderated": false - }, - "per_request_limits": null, - "supported_parameters": [ - "max_tokens", - "temperature", - "top_p", - "stop", - "frequency_penalty", - "presence_penalty", - "tools", - "tool_choice", - "seed", - "response_format", - "structured_outputs" - ] - }, { "id": "openai/gpt-4-turbo", "canonical_slug": "openai/gpt-4-turbo", @@ -13352,6 +13304,54 @@ "response_format" ] }, + { + "id": "google/gemini-pro-1.5", + "canonical_slug": "google/gemini-pro-1.5", + "hugging_face_id": null, + "name": "Google: Gemini 1.5 Pro", + "created": 1712620800, + "description": "Google's latest multimodal model, supports image and video[0] in text or chat prompts.\n\nOptimized for language tasks including:\n\n- Code generation\n- Text generation\n- Text editing\n- Problem solving\n- Recommendations\n- Information extraction\n- Data extraction or generation\n- AI agents\n\nUsage of Gemini is subject to Google's [Gemini Terms of Use](https://ai.google.dev/terms).\n\n* [0]: Video input is not available through OpenRouter at this time.", + "context_length": 2000000, + "architecture": { + "modality": "text+image->text", + "input_modalities": [ + "text", + "image" + ], + "output_modalities": [ + "text" + ], + "tokenizer": "Gemini", + "instruct_type": null + }, + "pricing": { + "prompt": "0.00000125", + "completion": "0.000005", + "request": "0", + "image": "0.0006575", + "web_search": "0", + "internal_reasoning": "0" + }, + "top_provider": { + "context_length": 2000000, + "max_completion_tokens": 8192, + "is_moderated": false + }, + "per_request_limits": null, + "supported_parameters": [ + "max_tokens", + "temperature", + "top_p", + "stop", + "frequency_penalty", + "presence_penalty", + "tools", + "tool_choice", + "seed", + "response_format", + "structured_outputs" + ] + }, { "id": "cohere/command-r-plus", "canonical_slug": "cohere/command-r-plus", @@ -13493,52 +13493,6 @@ "logit_bias" ] }, - { - "id": "cohere/command", - "canonical_slug": "cohere/command", - "hugging_face_id": null, - "name": "Cohere: Command", - "created": 1710374400, - "description": "Command is an instruction-following conversational model that performs language tasks with high quality, more reliably and with a longer context than our base generative models.\n\nUse of this model is subject to Cohere's [Usage Policy](https://docs.cohere.com/docs/usage-policy) and [SaaS Agreement](https://cohere.com/saas-agreement).", - "context_length": 4096, - "architecture": { - "modality": "text->text", - "input_modalities": [ - "text" - ], - "output_modalities": [ - "text" - ], - "tokenizer": "Cohere", - "instruct_type": null - }, - "pricing": { - "prompt": "0.000001", - "completion": "0.000002", - "request": "0", - "image": "0", - "web_search": "0", - "internal_reasoning": "0" - }, - "top_provider": { - "context_length": 4096, - "max_completion_tokens": 4000, - "is_moderated": true - }, - "per_request_limits": null, - "supported_parameters": [ - "max_tokens", - "temperature", - "top_p", - "stop", - "frequency_penalty", - "presence_penalty", - "top_k", - "seed", - "response_format", - "structured_outputs" - ] - }, { "id": "cohere/command-r", "canonical_slug": "cohere/command-r", @@ -13586,6 +13540,52 @@ "structured_outputs" ] }, + { + "id": "cohere/command", + "canonical_slug": "cohere/command", + "hugging_face_id": null, + "name": "Cohere: Command", + "created": 1710374400, + "description": "Command is an instruction-following conversational model that performs language tasks with high quality, more reliably and with a longer context than our base generative models.\n\nUse of this model is subject to Cohere's [Usage Policy](https://docs.cohere.com/docs/usage-policy) and [SaaS Agreement](https://cohere.com/saas-agreement).", + "context_length": 4096, + "architecture": { + "modality": "text->text", + "input_modalities": [ + "text" + ], + "output_modalities": [ + "text" + ], + "tokenizer": "Cohere", + "instruct_type": null + }, + "pricing": { + "prompt": "0.000001", + "completion": "0.000002", + "request": "0", + "image": "0", + "web_search": "0", + "internal_reasoning": "0" + }, + "top_provider": { + "context_length": 4096, + "max_completion_tokens": 4000, + "is_moderated": true + }, + "per_request_limits": null, + "supported_parameters": [ + "max_tokens", + "temperature", + "top_p", + "stop", + "frequency_penalty", + "presence_penalty", + "top_k", + "seed", + "response_format", + "structured_outputs" + ] + }, { "id": "anthropic/claude-3-haiku:beta", "canonical_slug": "anthropic/claude-3-haiku", @@ -13678,98 +13678,6 @@ "stop" ] }, - { - "id": "anthropic/claude-3-opus:beta", - "canonical_slug": "anthropic/claude-3-opus", - "hugging_face_id": null, - "name": "Anthropic: Claude 3 Opus (self-moderated)", - "created": 1709596800, - "description": "Claude 3 Opus is Anthropic's most powerful model for highly complex tasks. It boasts top-level performance, intelligence, fluency, and understanding.\n\nSee the launch announcement and benchmark results [here](https://www.anthropic.com/news/claude-3-family)\n\n#multimodal", - "context_length": 200000, - "architecture": { - "modality": "text+image->text", - "input_modalities": [ - "text", - "image" - ], - "output_modalities": [ - "text" - ], - "tokenizer": "Claude", - "instruct_type": null - }, - "pricing": { - "prompt": "0.000015", - "completion": "0.000075", - "request": "0", - "image": "0.024", - "web_search": "0", - "internal_reasoning": "0", - "input_cache_read": "0.0000015", - "input_cache_write": "0.00001875" - }, - "top_provider": { - "context_length": 200000, - "max_completion_tokens": 4096, - "is_moderated": false - }, - "per_request_limits": null, - "supported_parameters": [ - "max_tokens", - "temperature", - "top_p", - "tools", - "tool_choice", - "top_k", - "stop" - ] - }, - { - "id": "anthropic/claude-3-opus", - "canonical_slug": "anthropic/claude-3-opus", - "hugging_face_id": null, - "name": "Anthropic: Claude 3 Opus", - "created": 1709596800, - "description": "Claude 3 Opus is Anthropic's most powerful model for highly complex tasks. It boasts top-level performance, intelligence, fluency, and understanding.\n\nSee the launch announcement and benchmark results [here](https://www.anthropic.com/news/claude-3-family)\n\n#multimodal", - "context_length": 200000, - "architecture": { - "modality": "text+image->text", - "input_modalities": [ - "text", - "image" - ], - "output_modalities": [ - "text" - ], - "tokenizer": "Claude", - "instruct_type": null - }, - "pricing": { - "prompt": "0.000015", - "completion": "0.000075", - "request": "0", - "image": "0.024", - "web_search": "0", - "internal_reasoning": "0", - "input_cache_read": "0.0000015", - "input_cache_write": "0.00001875" - }, - "top_provider": { - "context_length": 200000, - "max_completion_tokens": 4096, - "is_moderated": true - }, - "per_request_limits": null, - "supported_parameters": [ - "max_tokens", - "temperature", - "top_p", - "tools", - "tool_choice", - "top_k", - "stop" - ] - }, { "id": "anthropic/claude-3-sonnet:beta", "canonical_slug": "anthropic/claude-3-sonnet", @@ -13862,6 +13770,98 @@ "stop" ] }, + { + "id": "anthropic/claude-3-opus:beta", + "canonical_slug": "anthropic/claude-3-opus", + "hugging_face_id": null, + "name": "Anthropic: Claude 3 Opus (self-moderated)", + "created": 1709596800, + "description": "Claude 3 Opus is Anthropic's most powerful model for highly complex tasks. It boasts top-level performance, intelligence, fluency, and understanding.\n\nSee the launch announcement and benchmark results [here](https://www.anthropic.com/news/claude-3-family)\n\n#multimodal", + "context_length": 200000, + "architecture": { + "modality": "text+image->text", + "input_modalities": [ + "text", + "image" + ], + "output_modalities": [ + "text" + ], + "tokenizer": "Claude", + "instruct_type": null + }, + "pricing": { + "prompt": "0.000015", + "completion": "0.000075", + "request": "0", + "image": "0.024", + "web_search": "0", + "internal_reasoning": "0", + "input_cache_read": "0.0000015", + "input_cache_write": "0.00001875" + }, + "top_provider": { + "context_length": 200000, + "max_completion_tokens": 4096, + "is_moderated": false + }, + "per_request_limits": null, + "supported_parameters": [ + "max_tokens", + "temperature", + "top_p", + "tools", + "tool_choice", + "top_k", + "stop" + ] + }, + { + "id": "anthropic/claude-3-opus", + "canonical_slug": "anthropic/claude-3-opus", + "hugging_face_id": null, + "name": "Anthropic: Claude 3 Opus", + "created": 1709596800, + "description": "Claude 3 Opus is Anthropic's most powerful model for highly complex tasks. It boasts top-level performance, intelligence, fluency, and understanding.\n\nSee the launch announcement and benchmark results [here](https://www.anthropic.com/news/claude-3-family)\n\n#multimodal", + "context_length": 200000, + "architecture": { + "modality": "text+image->text", + "input_modalities": [ + "text", + "image" + ], + "output_modalities": [ + "text" + ], + "tokenizer": "Claude", + "instruct_type": null + }, + "pricing": { + "prompt": "0.000015", + "completion": "0.000075", + "request": "0", + "image": "0.024", + "web_search": "0", + "internal_reasoning": "0", + "input_cache_read": "0.0000015", + "input_cache_write": "0.00001875" + }, + "top_provider": { + "context_length": 200000, + "max_completion_tokens": 4096, + "is_moderated": true + }, + "per_request_limits": null, + "supported_parameters": [ + "max_tokens", + "temperature", + "top_p", + "tools", + "tool_choice", + "top_k", + "stop" + ] + }, { "id": "cohere/command-r-03-2024", "canonical_slug": "cohere/command-r-03-2024", @@ -14104,12 +14104,12 @@ ] }, { - "id": "mistralai/mistral-small", - "canonical_slug": "mistralai/mistral-small", + "id": "mistralai/mistral-tiny", + "canonical_slug": "mistralai/mistral-tiny", "hugging_face_id": null, - "name": "Mistral Small", + "name": "Mistral Tiny", "created": 1704844800, - "description": "With 22 billion parameters, Mistral Small v24.09 offers a convenient mid-point between (Mistral NeMo 12B)[/mistralai/mistral-nemo] and (Mistral Large 2)[/mistralai/mistral-large], providing a cost-effective solution that can be deployed across various platforms and environments. It has better reasoning, exhibits more capabilities, can produce and reason about code, and is multiligual, supporting English, French, German, Italian, and Spanish.", + "description": "Note: This model is being deprecated. Recommended replacement is the newer [Ministral 8B](/mistral/ministral-8b)\n\nThis model is currently powered by Mistral-7B-v0.2, and incorporates a \"better\" fine-tuning than [Mistral 7B](/models/mistralai/mistral-7b-instruct-v0.1), inspired by community work. It's best used for large batch processing tasks where cost is a significant factor but reasoning capabilities are not crucial.", "context_length": 32768, "architecture": { "modality": "text->text", @@ -14123,8 +14123,8 @@ "instruct_type": null }, "pricing": { - "prompt": "0.0000002", - "completion": "0.0000006", + "prompt": "0.00000025", + "completion": "0.00000025", "request": "0", "image": "0", "web_search": "0", @@ -14151,12 +14151,12 @@ ] }, { - "id": "mistralai/mistral-tiny", - "canonical_slug": "mistralai/mistral-tiny", + "id": "mistralai/mistral-small", + "canonical_slug": "mistralai/mistral-small", "hugging_face_id": null, - "name": "Mistral Tiny", + "name": "Mistral Small", "created": 1704844800, - "description": "Note: This model is being deprecated. Recommended replacement is the newer [Ministral 8B](/mistral/ministral-8b)\n\nThis model is currently powered by Mistral-7B-v0.2, and incorporates a \"better\" fine-tuning than [Mistral 7B](/models/mistralai/mistral-7b-instruct-v0.1), inspired by community work. It's best used for large batch processing tasks where cost is a significant factor but reasoning capabilities are not crucial.", + "description": "With 22 billion parameters, Mistral Small v24.09 offers a convenient mid-point between (Mistral NeMo 12B)[/mistralai/mistral-nemo] and (Mistral Large 2)[/mistralai/mistral-large], providing a cost-effective solution that can be deployed across various platforms and environments. It has better reasoning, exhibits more capabilities, can produce and reason about code, and is multiligual, supporting English, French, German, Italian, and Spanish.", "context_length": 32768, "architecture": { "modality": "text->text", @@ -14170,8 +14170,8 @@ "instruct_type": null }, "pricing": { - "prompt": "0.00000025", - "completion": "0.00000025", + "prompt": "0.0000002", + "completion": "0.0000006", "request": "0", "image": "0", "web_search": "0", @@ -14342,88 +14342,6 @@ "top_a" ] }, - { - "id": "anthropic/claude-2.1:beta", - "canonical_slug": "anthropic/claude-2.1", - "hugging_face_id": null, - "name": "Anthropic: Claude v2.1 (self-moderated)", - "created": 1700611200, - "description": "Claude 2 delivers advancements in key capabilities for enterprises—including an industry-leading 200K token context window, significant reductions in rates of model hallucination, system prompts and a new beta feature: tool use.", - "context_length": 200000, - "architecture": { - "modality": "text->text", - "input_modalities": [ - "text" - ], - "output_modalities": [ - "text" - ], - "tokenizer": "Claude", - "instruct_type": null - }, - "pricing": { - "prompt": "0.000008", - "completion": "0.000024", - "request": "0", - "image": "0", - "web_search": "0", - "internal_reasoning": "0" - }, - "top_provider": { - "context_length": 200000, - "max_completion_tokens": 4096, - "is_moderated": false - }, - "per_request_limits": null, - "supported_parameters": [ - "max_tokens", - "temperature", - "top_p", - "top_k", - "stop" - ] - }, - { - "id": "anthropic/claude-2.1", - "canonical_slug": "anthropic/claude-2.1", - "hugging_face_id": null, - "name": "Anthropic: Claude v2.1", - "created": 1700611200, - "description": "Claude 2 delivers advancements in key capabilities for enterprises—including an industry-leading 200K token context window, significant reductions in rates of model hallucination, system prompts and a new beta feature: tool use.", - "context_length": 200000, - "architecture": { - "modality": "text->text", - "input_modalities": [ - "text" - ], - "output_modalities": [ - "text" - ], - "tokenizer": "Claude", - "instruct_type": null - }, - "pricing": { - "prompt": "0.000008", - "completion": "0.000024", - "request": "0", - "image": "0", - "web_search": "0", - "internal_reasoning": "0" - }, - "top_provider": { - "context_length": 200000, - "max_completion_tokens": 4096, - "is_moderated": true - }, - "per_request_limits": null, - "supported_parameters": [ - "max_tokens", - "temperature", - "top_p", - "top_k", - "stop" - ] - }, { "id": "anthropic/claude-2:beta", "canonical_slug": "anthropic/claude-2", @@ -14506,6 +14424,88 @@ "stop" ] }, + { + "id": "anthropic/claude-2.1:beta", + "canonical_slug": "anthropic/claude-2.1", + "hugging_face_id": null, + "name": "Anthropic: Claude v2.1 (self-moderated)", + "created": 1700611200, + "description": "Claude 2 delivers advancements in key capabilities for enterprises—including an industry-leading 200K token context window, significant reductions in rates of model hallucination, system prompts and a new beta feature: tool use.", + "context_length": 200000, + "architecture": { + "modality": "text->text", + "input_modalities": [ + "text" + ], + "output_modalities": [ + "text" + ], + "tokenizer": "Claude", + "instruct_type": null + }, + "pricing": { + "prompt": "0.000008", + "completion": "0.000024", + "request": "0", + "image": "0", + "web_search": "0", + "internal_reasoning": "0" + }, + "top_provider": { + "context_length": 200000, + "max_completion_tokens": 4096, + "is_moderated": false + }, + "per_request_limits": null, + "supported_parameters": [ + "max_tokens", + "temperature", + "top_p", + "top_k", + "stop" + ] + }, + { + "id": "anthropic/claude-2.1", + "canonical_slug": "anthropic/claude-2.1", + "hugging_face_id": null, + "name": "Anthropic: Claude v2.1", + "created": 1700611200, + "description": "Claude 2 delivers advancements in key capabilities for enterprises—including an industry-leading 200K token context window, significant reductions in rates of model hallucination, system prompts and a new beta feature: tool use.", + "context_length": 200000, + "architecture": { + "modality": "text->text", + "input_modalities": [ + "text" + ], + "output_modalities": [ + "text" + ], + "tokenizer": "Claude", + "instruct_type": null + }, + "pricing": { + "prompt": "0.000008", + "completion": "0.000024", + "request": "0", + "image": "0", + "web_search": "0", + "internal_reasoning": "0" + }, + "top_provider": { + "context_length": 200000, + "max_completion_tokens": 4096, + "is_moderated": true + }, + "per_request_limits": null, + "supported_parameters": [ + "max_tokens", + "temperature", + "top_p", + "top_k", + "stop" + ] + }, { "id": "undi95/toppy-m-7b", "canonical_slug": "undi95/toppy-m-7b", diff --git a/packages/kbot/dist-in/src/models/cache/openrouter.ts b/packages/kbot/dist-in/src/models/cache/openrouter.ts index 82256c1d..e4c48f51 100644 --- a/packages/kbot/dist-in/src/models/cache/openrouter.ts +++ b/packages/kbot/dist-in/src/models/cache/openrouter.ts @@ -1 +1 @@ -export const models = [{"id":"openrouter/cypher-alpha:free","name":"Cypher Alpha (free)","pricing":{"prompt":"0","completion":"0","request":"0","image":"0","web_search":"0","internal_reasoning":"0"},"created":1751336087,"top_provider":{"context_length":1000000,"max_completion_tokens":10000,"is_moderated":false}},{"id":"baidu/ernie-4.5-300b-a47b","name":"Baidu: ERNIE 4.5 300B A47B ","pricing":{"prompt":"0.00000028","completion":"0.0000011","request":"0","image":"0","web_search":"0","internal_reasoning":"0"},"created":1751300139,"top_provider":{"context_length":123000,"max_completion_tokens":12000,"is_moderated":false}},{"id":"thedrummer/anubis-70b-v1.1","name":"TheDrummer: Anubis 70B V1.1","pricing":{"prompt":"0.0000003","completion":"0.0000008","request":"0","image":"0","web_search":"0","internal_reasoning":"0"},"created":1751208347,"top_provider":{"context_length":131072,"max_completion_tokens":131072,"is_moderated":false}},{"id":"inception/mercury","name":"Inception: Mercury","pricing":{"prompt":"0.00000025","completion":"0.000001","request":"0","image":"0","web_search":"0","internal_reasoning":"0"},"created":1750973026,"top_provider":{"context_length":32000,"max_completion_tokens":16000,"is_moderated":false}},{"id":"morph/morph-v2","name":"Morph: Fast Apply","pricing":{"prompt":"0.0000012","completion":"0.0000027","request":"0","image":"0","web_search":"0","internal_reasoning":"0"},"created":1750946108,"top_provider":{"context_length":32000,"max_completion_tokens":16000,"is_moderated":false}},{"id":"mistralai/mistral-small-3.2-24b-instruct:free","name":"Mistral: Mistral Small 3.2 24B (free)","pricing":{"prompt":"0","completion":"0","request":"0","image":"0","web_search":"0","internal_reasoning":"0"},"created":1750443016,"top_provider":{"context_length":96000,"max_completion_tokens":null,"is_moderated":false}},{"id":"mistralai/mistral-small-3.2-24b-instruct","name":"Mistral: Mistral Small 3.2 24B","pricing":{"prompt":"0.00000005","completion":"0.0000001","request":"0","image":"0","web_search":"0","internal_reasoning":"0"},"created":1750443016,"top_provider":{"context_length":128000,"max_completion_tokens":null,"is_moderated":false}},{"id":"minimax/minimax-m1","name":"MiniMax: MiniMax M1","pricing":{"prompt":"0.0000003","completion":"0.00000165","request":"0","image":"0","web_search":"0","internal_reasoning":"0"},"created":1750200414,"top_provider":{"context_length":1000000,"max_completion_tokens":40000,"is_moderated":false}},{"id":"google/gemini-2.5-flash-lite-preview-06-17","name":"Google: Gemini 2.5 Flash Lite Preview 06-17","pricing":{"prompt":"0.0000001","completion":"0.0000004","request":"0","image":"0","web_search":"0","internal_reasoning":"0"},"created":1750173831,"top_provider":{"context_length":1048576,"max_completion_tokens":65535,"is_moderated":false}},{"id":"google/gemini-2.5-flash","name":"Google: Gemini 2.5 Flash","pricing":{"prompt":"0.0000003","completion":"0.0000025","request":"0","image":"0.001238","web_search":"0","internal_reasoning":"0","input_cache_read":"0.000000075","input_cache_write":"0.0000003833"},"created":1750172488,"top_provider":{"context_length":1048576,"max_completion_tokens":65535,"is_moderated":false}},{"id":"google/gemini-2.5-pro","name":"Google: Gemini 2.5 Pro","pricing":{"prompt":"0.00000125","completion":"0.00001","request":"0","image":"0.00516","web_search":"0","internal_reasoning":"0","input_cache_read":"0.00000031","input_cache_write":"0.000001625"},"created":1750169544,"top_provider":{"context_length":1048576,"max_completion_tokens":65536,"is_moderated":false}},{"id":"moonshotai/kimi-dev-72b:free","name":"Kimi Dev 72b (free)","pricing":{"prompt":"0","completion":"0","request":"0","image":"0","web_search":"0","internal_reasoning":"0"},"created":1750115909,"top_provider":{"context_length":131072,"max_completion_tokens":null,"is_moderated":false}},{"id":"openai/o3-pro","name":"OpenAI: o3 Pro","pricing":{"prompt":"0.00002","completion":"0.00008","request":"0","image":"0.0153","web_search":"0","internal_reasoning":"0"},"created":1749598352,"top_provider":{"context_length":200000,"max_completion_tokens":100000,"is_moderated":true}},{"id":"x-ai/grok-3-mini","name":"xAI: Grok 3 Mini","pricing":{"prompt":"0.0000003","completion":"0.0000005","request":"0","image":"0","web_search":"0","internal_reasoning":"0","input_cache_read":"0.000000075"},"created":1749583245,"top_provider":{"context_length":131072,"max_completion_tokens":null,"is_moderated":false}},{"id":"x-ai/grok-3","name":"xAI: Grok 3","pricing":{"prompt":"0.000003","completion":"0.000015","request":"0","image":"0","web_search":"0","internal_reasoning":"0","input_cache_read":"0.00000075"},"created":1749582908,"top_provider":{"context_length":131072,"max_completion_tokens":null,"is_moderated":false}},{"id":"mistralai/magistral-small-2506","name":"Mistral: Magistral Small 2506","pricing":{"prompt":"0.0000005","completion":"0.0000015","request":"0","image":"0","web_search":"0","internal_reasoning":"0"},"created":1749569561,"top_provider":{"context_length":40000,"max_completion_tokens":40000,"is_moderated":false}},{"id":"mistralai/magistral-medium-2506","name":"Mistral: Magistral Medium 2506","pricing":{"prompt":"0.000002","completion":"0.000005","request":"0","image":"0","web_search":"0","internal_reasoning":"0"},"created":1749354054,"top_provider":{"context_length":40960,"max_completion_tokens":40000,"is_moderated":false}},{"id":"mistralai/magistral-medium-2506:thinking","name":"Mistral: Magistral Medium 2506 (thinking)","pricing":{"prompt":"0.000002","completion":"0.000005","request":"0","image":"0","web_search":"0","internal_reasoning":"0"},"created":1749354054,"top_provider":{"context_length":40960,"max_completion_tokens":40000,"is_moderated":false}},{"id":"google/gemini-2.5-pro-preview","name":"Google: Gemini 2.5 Pro Preview 06-05","pricing":{"prompt":"0.00000125","completion":"0.00001","request":"0","image":"0.00516","web_search":"0","internal_reasoning":"0","input_cache_read":"0.00000031","input_cache_write":"0.000001625"},"created":1749137257,"top_provider":{"context_length":1048576,"max_completion_tokens":65536,"is_moderated":false}},{"id":"deepseek/deepseek-r1-distill-qwen-7b","name":"DeepSeek: R1 Distill Qwen 7B","pricing":{"prompt":"0.0000001","completion":"0.0000002","request":"0","image":"0","web_search":"0","internal_reasoning":"0"},"created":1748628237,"top_provider":{"context_length":131072,"max_completion_tokens":null,"is_moderated":false}},{"id":"deepseek/deepseek-r1-0528-qwen3-8b:free","name":"DeepSeek: Deepseek R1 0528 Qwen3 8B (free)","pricing":{"prompt":"0","completion":"0","request":"0","image":"0","web_search":"0","internal_reasoning":"0"},"created":1748538543,"top_provider":{"context_length":131072,"max_completion_tokens":null,"is_moderated":false}},{"id":"deepseek/deepseek-r1-0528-qwen3-8b","name":"DeepSeek: Deepseek R1 0528 Qwen3 8B","pricing":{"prompt":"0.00000001","completion":"0.00000002","request":"0","image":"0","web_search":"0","internal_reasoning":"0"},"created":1748538543,"top_provider":{"context_length":32000,"max_completion_tokens":null,"is_moderated":false}},{"id":"deepseek/deepseek-r1-0528:free","name":"DeepSeek: R1 0528 (free)","pricing":{"prompt":"0","completion":"0","request":"0","image":"0","web_search":"0","internal_reasoning":"0"},"created":1748455170,"top_provider":{"context_length":163840,"max_completion_tokens":null,"is_moderated":false}},{"id":"deepseek/deepseek-r1-0528","name":"DeepSeek: R1 0528","pricing":{"prompt":"0.0000005","completion":"0.00000215","request":"0","image":"0","web_search":"0","internal_reasoning":"0"},"created":1748455170,"top_provider":{"context_length":128000,"max_completion_tokens":32768,"is_moderated":false}},{"id":"sarvamai/sarvam-m:free","name":"Sarvam AI: Sarvam-M (free)","pricing":{"prompt":"0","completion":"0","request":"0","image":"0","web_search":"0","internal_reasoning":"0"},"created":1748188413,"top_provider":{"context_length":32768,"max_completion_tokens":null,"is_moderated":false}},{"id":"thedrummer/valkyrie-49b-v1","name":"TheDrummer: Valkyrie 49B V1","pricing":{"prompt":"0.0000005","completion":"0.0000008","request":"0","image":"0","web_search":"0","internal_reasoning":"0"},"created":1748022670,"top_provider":{"context_length":131072,"max_completion_tokens":131072,"is_moderated":false}},{"id":"anthropic/claude-opus-4","name":"Anthropic: Claude Opus 4","pricing":{"prompt":"0.000015","completion":"0.000075","request":"0","image":"0.024","web_search":"0","internal_reasoning":"0","input_cache_read":"0.0000015","input_cache_write":"0.00001875"},"created":1747931245,"top_provider":{"context_length":200000,"max_completion_tokens":32000,"is_moderated":true}},{"id":"anthropic/claude-sonnet-4","name":"Anthropic: Claude Sonnet 4","pricing":{"prompt":"0.000003","completion":"0.000015","request":"0","image":"0.0048","web_search":"0","internal_reasoning":"0","input_cache_read":"0.0000003","input_cache_write":"0.00000375"},"created":1747930371,"top_provider":{"context_length":200000,"max_completion_tokens":64000,"is_moderated":false}},{"id":"mistralai/devstral-small:free","name":"Mistral: Devstral Small (free)","pricing":{"prompt":"0","completion":"0","request":"0","image":"0","web_search":"0","internal_reasoning":"0"},"created":1747837379,"top_provider":{"context_length":32768,"max_completion_tokens":null,"is_moderated":false}},{"id":"mistralai/devstral-small","name":"Mistral: Devstral Small","pricing":{"prompt":"0.00000006","completion":"0.00000012","request":"0","image":"0","web_search":"0","internal_reasoning":"0"},"created":1747837379,"top_provider":{"context_length":128000,"max_completion_tokens":null,"is_moderated":false}},{"id":"google/gemma-3n-e4b-it:free","name":"Google: Gemma 3n 4B (free)","pricing":{"prompt":"0","completion":"0","request":"0","image":"0","web_search":"0","internal_reasoning":"0"},"created":1747776824,"top_provider":{"context_length":8192,"max_completion_tokens":2048,"is_moderated":false}},{"id":"google/gemma-3n-e4b-it","name":"Google: Gemma 3n 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paid\nthedrummer/anubis-pro-105b-v1 | paid\nthedrummer/rocinante-12b | paid\nthedrummer/skyfall-36b-v2 | paid\nthedrummer/unslopnemo-12b | paid\nthedrummer/valkyrie-49b-v1 | paid\nthudm/glm-4-32b | paid\nthudm/glm-4-32b:free | free\nthudm/glm-z1-32b | paid\nthudm/glm-z1-32b:free | free\nthudm/glm-z1-rumination-32b | paid\ntngtech/deepseek-r1t-chimera:free | free\nundi95/toppy-m-7b | paid\nscb10x/llama3.1-typhoon2-70b-instruct | paid\nmicrosoft/wizardlm-2-8x22b | paid\nx-ai/grok-2-1212 | paid\nx-ai/grok-2-vision-1212 | paid\nx-ai/grok-3 | paid\nx-ai/grok-3-beta | paid\nx-ai/grok-3-mini | paid\nx-ai/grok-3-mini-beta | paid\nx-ai/grok-beta | paid\nx-ai/grok-vision-beta | paid\n\u001b[35m\u001b[1m\u001b[22m\u001b[39m\n\u001b[35m\u001b[1m OpenAI 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Deepseek models:\u001b[22m\u001b[39m\n\u001b[35m\u001b[1m\u001b[22m\u001b[39m\ndeepseek-chat\ndeepseek-reasoner\n-----\n", "ui:title": "Model" }, "router": { diff --git a/packages/kbot/src/models/cache/openrouter-models-free.ts b/packages/kbot/src/models/cache/openrouter-models-free.ts index b1da2145..c7a7a02f 100644 --- a/packages/kbot/src/models/cache/openrouter-models-free.ts +++ b/packages/kbot/src/models/cache/openrouter-models-free.ts @@ -47,8 +47,8 @@ export enum E_OPENROUTER_MODEL_FREE { MODEL_FREE_GOOGLE_GEMINI_2_0_FLASH_EXP_FREE = "google/gemini-2.0-flash-exp:free", MODEL_FREE_META_LLAMA_LLAMA_3_3_70B_INSTRUCT_FREE = "meta-llama/llama-3.3-70b-instruct:free", MODEL_FREE_QWEN_QWEN_2_5_CODER_32B_INSTRUCT_FREE = "qwen/qwen-2.5-coder-32b-instruct:free", - MODEL_FREE_META_LLAMA_LLAMA_3_2_1B_INSTRUCT_FREE = "meta-llama/llama-3.2-1b-instruct:free", MODEL_FREE_META_LLAMA_LLAMA_3_2_11B_VISION_INSTRUCT_FREE = "meta-llama/llama-3.2-11b-vision-instruct:free", + MODEL_FREE_META_LLAMA_LLAMA_3_2_1B_INSTRUCT_FREE = "meta-llama/llama-3.2-1b-instruct:free", MODEL_FREE_QWEN_QWEN_2_5_72B_INSTRUCT_FREE = "qwen/qwen-2.5-72b-instruct:free", MODEL_FREE_META_LLAMA_LLAMA_3_1_8B_INSTRUCT_FREE = "meta-llama/llama-3.1-8b-instruct:free", MODEL_FREE_MISTRALAI_MISTRAL_NEMO_FREE = "mistralai/mistral-nemo:free", diff --git a/packages/kbot/src/models/cache/openrouter-models.ts b/packages/kbot/src/models/cache/openrouter-models.ts index a3f289da..440ca416 100644 --- a/packages/kbot/src/models/cache/openrouter-models.ts +++ b/packages/kbot/src/models/cache/openrouter-models.ts @@ -191,43 +191,43 @@ export enum E_OPENROUTER_MODEL { MODEL_RAIFLE_SORCERERLM_8X22B = "raifle/sorcererlm-8x22b", MODEL_EVA_UNIT_01_EVA_QWEN_2_5_32B = "eva-unit-01/eva-qwen-2.5-32b", MODEL_THEDRUMMER_UNSLOPNEMO_12B = "thedrummer/unslopnemo-12b", - MODEL_ANTHROPIC_CLAUDE_3_5_HAIKU_BETA = "anthropic/claude-3.5-haiku:beta", - MODEL_ANTHROPIC_CLAUDE_3_5_HAIKU = "anthropic/claude-3.5-haiku", MODEL_ANTHROPIC_CLAUDE_3_5_HAIKU_20241022_BETA = "anthropic/claude-3.5-haiku-20241022:beta", MODEL_ANTHROPIC_CLAUDE_3_5_HAIKU_20241022 = "anthropic/claude-3.5-haiku-20241022", - MODEL_NEVERSLEEP_LLAMA_3_1_LUMIMAID_70B = "neversleep/llama-3.1-lumimaid-70b", + MODEL_ANTHROPIC_CLAUDE_3_5_HAIKU_BETA = "anthropic/claude-3.5-haiku:beta", + MODEL_ANTHROPIC_CLAUDE_3_5_HAIKU = "anthropic/claude-3.5-haiku", MODEL_ANTHRACITE_ORG_MAGNUM_V4_72B = "anthracite-org/magnum-v4-72b", + MODEL_NEVERSLEEP_LLAMA_3_1_LUMIMAID_70B = "neversleep/llama-3.1-lumimaid-70b", MODEL_ANTHROPIC_CLAUDE_3_5_SONNET_BETA = "anthropic/claude-3.5-sonnet:beta", MODEL_ANTHROPIC_CLAUDE_3_5_SONNET = "anthropic/claude-3.5-sonnet", MODEL_X_AI_GROK_BETA = "x-ai/grok-beta", - MODEL_MISTRALAI_MINISTRAL_8B = "mistralai/ministral-8b", MODEL_MISTRALAI_MINISTRAL_3B = "mistralai/ministral-3b", + MODEL_MISTRALAI_MINISTRAL_8B = "mistralai/ministral-8b", MODEL_QWEN_QWEN_2_5_7B_INSTRUCT = "qwen/qwen-2.5-7b-instruct", MODEL_NVIDIA_LLAMA_3_1_NEMOTRON_70B_INSTRUCT = "nvidia/llama-3.1-nemotron-70b-instruct", MODEL_INFLECTION_INFLECTION_3_PRODUCTIVITY = "inflection/inflection-3-productivity", MODEL_INFLECTION_INFLECTION_3_PI = "inflection/inflection-3-pi", MODEL_GOOGLE_GEMINI_FLASH_1_5_8B = "google/gemini-flash-1.5-8b", + MODEL_LIQUID_LFM_40B = "liquid/lfm-40b", MODEL_THEDRUMMER_ROCINANTE_12B = "thedrummer/rocinante-12b", MODEL_ANTHRACITE_ORG_MAGNUM_V2_72B = "anthracite-org/magnum-v2-72b", - MODEL_LIQUID_LFM_40B = "liquid/lfm-40b", - MODEL_META_LLAMA_LLAMA_3_2_3B_INSTRUCT = "meta-llama/llama-3.2-3b-instruct", + MODEL_META_LLAMA_LLAMA_3_2_11B_VISION_INSTRUCT_FREE = "meta-llama/llama-3.2-11b-vision-instruct:free", + MODEL_META_LLAMA_LLAMA_3_2_11B_VISION_INSTRUCT = "meta-llama/llama-3.2-11b-vision-instruct", MODEL_META_LLAMA_LLAMA_3_2_1B_INSTRUCT_FREE = "meta-llama/llama-3.2-1b-instruct:free", MODEL_META_LLAMA_LLAMA_3_2_1B_INSTRUCT = "meta-llama/llama-3.2-1b-instruct", MODEL_META_LLAMA_LLAMA_3_2_90B_VISION_INSTRUCT = "meta-llama/llama-3.2-90b-vision-instruct", - MODEL_META_LLAMA_LLAMA_3_2_11B_VISION_INSTRUCT_FREE = "meta-llama/llama-3.2-11b-vision-instruct:free", - MODEL_META_LLAMA_LLAMA_3_2_11B_VISION_INSTRUCT = "meta-llama/llama-3.2-11b-vision-instruct", + MODEL_META_LLAMA_LLAMA_3_2_3B_INSTRUCT = "meta-llama/llama-3.2-3b-instruct", MODEL_QWEN_QWEN_2_5_72B_INSTRUCT_FREE = "qwen/qwen-2.5-72b-instruct:free", MODEL_QWEN_QWEN_2_5_72B_INSTRUCT = "qwen/qwen-2.5-72b-instruct", MODEL_NEVERSLEEP_LLAMA_3_1_LUMIMAID_8B = "neversleep/llama-3.1-lumimaid-8b", - MODEL_OPENAI_O1_PREVIEW = "openai/o1-preview", - MODEL_OPENAI_O1_PREVIEW_2024_09_12 = "openai/o1-preview-2024-09-12", MODEL_OPENAI_O1_MINI = "openai/o1-mini", + MODEL_OPENAI_O1_PREVIEW_2024_09_12 = "openai/o1-preview-2024-09-12", MODEL_OPENAI_O1_MINI_2024_09_12 = "openai/o1-mini-2024-09-12", + MODEL_OPENAI_O1_PREVIEW = "openai/o1-preview", MODEL_MISTRALAI_PIXTRAL_12B = "mistralai/pixtral-12b", - MODEL_COHERE_COMMAND_R_PLUS_08_2024 = "cohere/command-r-plus-08-2024", MODEL_COHERE_COMMAND_R_08_2024 = "cohere/command-r-08-2024", - MODEL_QWEN_QWEN_2_5_VL_7B_INSTRUCT = "qwen/qwen-2.5-vl-7b-instruct", + MODEL_COHERE_COMMAND_R_PLUS_08_2024 = "cohere/command-r-plus-08-2024", MODEL_SAO10K_L3_1_EURYALE_70B = "sao10k/l3.1-euryale-70b", + MODEL_QWEN_QWEN_2_5_VL_7B_INSTRUCT = "qwen/qwen-2.5-vl-7b-instruct", MODEL_MICROSOFT_PHI_3_5_MINI_128K_INSTRUCT = "microsoft/phi-3.5-mini-128k-instruct", MODEL_NOUSRESEARCH_HERMES_3_LLAMA_3_1_70B = "nousresearch/hermes-3-llama-3.1-70b", MODEL_NOUSRESEARCH_HERMES_3_LLAMA_3_1_405B = "nousresearch/hermes-3-llama-3.1-405b", @@ -235,18 +235,18 @@ export enum E_OPENROUTER_MODEL { MODEL_SAO10K_L3_LUNARIS_8B = "sao10k/l3-lunaris-8b", MODEL_AETHERWIING_MN_STARCANNON_12B = "aetherwiing/mn-starcannon-12b", MODEL_OPENAI_GPT_4O_2024_08_06 = "openai/gpt-4o-2024-08-06", - MODEL_META_LLAMA_LLAMA_3_1_405B = "meta-llama/llama-3.1-405b", MODEL_NOTHINGIISREAL_MN_CELESTE_12B = "nothingiisreal/mn-celeste-12b", + MODEL_META_LLAMA_LLAMA_3_1_405B = "meta-llama/llama-3.1-405b", MODEL_PERPLEXITY_LLAMA_3_1_SONAR_SMALL_128K_ONLINE = "perplexity/llama-3.1-sonar-small-128k-online", MODEL_PERPLEXITY_LLAMA_3_1_SONAR_LARGE_128K_ONLINE = "perplexity/llama-3.1-sonar-large-128k-online", + MODEL_META_LLAMA_LLAMA_3_1_70B_INSTRUCT = "meta-llama/llama-3.1-70b-instruct", + MODEL_META_LLAMA_LLAMA_3_1_405B_INSTRUCT = "meta-llama/llama-3.1-405b-instruct", MODEL_META_LLAMA_LLAMA_3_1_8B_INSTRUCT_FREE = "meta-llama/llama-3.1-8b-instruct:free", MODEL_META_LLAMA_LLAMA_3_1_8B_INSTRUCT = "meta-llama/llama-3.1-8b-instruct", - MODEL_META_LLAMA_LLAMA_3_1_405B_INSTRUCT = "meta-llama/llama-3.1-405b-instruct", - MODEL_META_LLAMA_LLAMA_3_1_70B_INSTRUCT = "meta-llama/llama-3.1-70b-instruct", MODEL_MISTRALAI_MISTRAL_NEMO_FREE = "mistralai/mistral-nemo:free", MODEL_MISTRALAI_MISTRAL_NEMO = "mistralai/mistral-nemo", - MODEL_OPENAI_GPT_4O_MINI = "openai/gpt-4o-mini", MODEL_OPENAI_GPT_4O_MINI_2024_07_18 = "openai/gpt-4o-mini-2024-07-18", + MODEL_OPENAI_GPT_4O_MINI = "openai/gpt-4o-mini", MODEL_GOOGLE_GEMMA_2_27B_IT = "google/gemma-2-27b-it", MODEL_ALPINDALE_MAGNUM_72B = "alpindale/magnum-72b", MODEL_GOOGLE_GEMMA_2_9B_IT_FREE = "google/gemma-2-9b-it:free", @@ -257,17 +257,17 @@ export enum E_OPENROUTER_MODEL { MODEL_SAO10K_L3_EURYALE_70B = "sao10k/l3-euryale-70b", MODEL_COGNITIVECOMPUTATIONS_DOLPHIN_MIXTRAL_8X22B = "cognitivecomputations/dolphin-mixtral-8x22b", MODEL_QWEN_QWEN_2_72B_INSTRUCT = "qwen/qwen-2-72b-instruct", + MODEL_MISTRALAI_MISTRAL_7B_INSTRUCT_V0_3 = "mistralai/mistral-7b-instruct-v0.3", + MODEL_NOUSRESEARCH_HERMES_2_PRO_LLAMA_3_8B = "nousresearch/hermes-2-pro-llama-3-8b", MODEL_MISTRALAI_MISTRAL_7B_INSTRUCT_FREE = "mistralai/mistral-7b-instruct:free", MODEL_MISTRALAI_MISTRAL_7B_INSTRUCT = "mistralai/mistral-7b-instruct", - MODEL_NOUSRESEARCH_HERMES_2_PRO_LLAMA_3_8B = "nousresearch/hermes-2-pro-llama-3-8b", - MODEL_MISTRALAI_MISTRAL_7B_INSTRUCT_V0_3 = "mistralai/mistral-7b-instruct-v0.3", MODEL_MICROSOFT_PHI_3_MINI_128K_INSTRUCT = "microsoft/phi-3-mini-128k-instruct", MODEL_MICROSOFT_PHI_3_MEDIUM_128K_INSTRUCT = "microsoft/phi-3-medium-128k-instruct", MODEL_NEVERSLEEP_LLAMA_3_LUMIMAID_70B = "neversleep/llama-3-lumimaid-70b", MODEL_GOOGLE_GEMINI_FLASH_1_5 = "google/gemini-flash-1.5", + MODEL_META_LLAMA_LLAMA_GUARD_2_8B = "meta-llama/llama-guard-2-8b", MODEL_OPENAI_GPT_4O = "openai/gpt-4o", MODEL_OPENAI_GPT_4O_EXTENDED = "openai/gpt-4o:extended", - MODEL_META_LLAMA_LLAMA_GUARD_2_8B = "meta-llama/llama-guard-2-8b", MODEL_OPENAI_GPT_4O_2024_05_13 = "openai/gpt-4o-2024-05-13", MODEL_NEVERSLEEP_LLAMA_3_LUMIMAID_8B = "neversleep/llama-3-lumimaid-8b", MODEL_SAO10K_FIMBULVETR_11B_V2 = "sao10k/fimbulvetr-11b-v2", @@ -275,33 +275,33 @@ export enum E_OPENROUTER_MODEL { MODEL_META_LLAMA_LLAMA_3_70B_INSTRUCT = "meta-llama/llama-3-70b-instruct", MODEL_MISTRALAI_MIXTRAL_8X22B_INSTRUCT = "mistralai/mixtral-8x22b-instruct", MODEL_MICROSOFT_WIZARDLM_2_8X22B = "microsoft/wizardlm-2-8x22b", - MODEL_GOOGLE_GEMINI_PRO_1_5 = "google/gemini-pro-1.5", MODEL_OPENAI_GPT_4_TURBO = "openai/gpt-4-turbo", + MODEL_GOOGLE_GEMINI_PRO_1_5 = "google/gemini-pro-1.5", MODEL_COHERE_COMMAND_R_PLUS = "cohere/command-r-plus", MODEL_COHERE_COMMAND_R_PLUS_04_2024 = "cohere/command-r-plus-04-2024", MODEL_SOPHOSYMPATHEIA_MIDNIGHT_ROSE_70B = "sophosympatheia/midnight-rose-70b", - MODEL_COHERE_COMMAND = "cohere/command", MODEL_COHERE_COMMAND_R = "cohere/command-r", + MODEL_COHERE_COMMAND = "cohere/command", MODEL_ANTHROPIC_CLAUDE_3_HAIKU_BETA = "anthropic/claude-3-haiku:beta", MODEL_ANTHROPIC_CLAUDE_3_HAIKU = "anthropic/claude-3-haiku", - MODEL_ANTHROPIC_CLAUDE_3_OPUS_BETA = "anthropic/claude-3-opus:beta", - MODEL_ANTHROPIC_CLAUDE_3_OPUS = "anthropic/claude-3-opus", MODEL_ANTHROPIC_CLAUDE_3_SONNET_BETA = "anthropic/claude-3-sonnet:beta", MODEL_ANTHROPIC_CLAUDE_3_SONNET = "anthropic/claude-3-sonnet", + MODEL_ANTHROPIC_CLAUDE_3_OPUS_BETA = "anthropic/claude-3-opus:beta", + MODEL_ANTHROPIC_CLAUDE_3_OPUS = "anthropic/claude-3-opus", MODEL_COHERE_COMMAND_R_03_2024 = "cohere/command-r-03-2024", MODEL_MISTRALAI_MISTRAL_LARGE = "mistralai/mistral-large", MODEL_OPENAI_GPT_3_5_TURBO_0613 = "openai/gpt-3.5-turbo-0613", MODEL_OPENAI_GPT_4_TURBO_PREVIEW = "openai/gpt-4-turbo-preview", MODEL_NOUSRESEARCH_NOUS_HERMES_2_MIXTRAL_8X7B_DPO = "nousresearch/nous-hermes-2-mixtral-8x7b-dpo", - MODEL_MISTRALAI_MISTRAL_SMALL = "mistralai/mistral-small", MODEL_MISTRALAI_MISTRAL_TINY = "mistralai/mistral-tiny", + MODEL_MISTRALAI_MISTRAL_SMALL = "mistralai/mistral-small", MODEL_MISTRALAI_MISTRAL_7B_INSTRUCT_V0_2 = "mistralai/mistral-7b-instruct-v0.2", MODEL_MISTRALAI_MIXTRAL_8X7B_INSTRUCT = "mistralai/mixtral-8x7b-instruct", MODEL_NEVERSLEEP_NOROMAID_20B = "neversleep/noromaid-20b", - MODEL_ANTHROPIC_CLAUDE_2_1_BETA = "anthropic/claude-2.1:beta", - MODEL_ANTHROPIC_CLAUDE_2_1 = "anthropic/claude-2.1", MODEL_ANTHROPIC_CLAUDE_2_BETA = "anthropic/claude-2:beta", MODEL_ANTHROPIC_CLAUDE_2 = "anthropic/claude-2", + MODEL_ANTHROPIC_CLAUDE_2_1_BETA = "anthropic/claude-2.1:beta", + MODEL_ANTHROPIC_CLAUDE_2_1 = "anthropic/claude-2.1", MODEL_UNDI95_TOPPY_M_7B = "undi95/toppy-m-7b", MODEL_ALPINDALE_GOLIATH_120B = "alpindale/goliath-120b", MODEL_OPENROUTER_AUTO = "openrouter/auto", diff --git a/packages/kbot/src/zod_types.ts b/packages/kbot/src/zod_types.ts index 887f4488..29ef7f7d 100644 --- a/packages/kbot/src/zod_types.ts +++ b/packages/kbot/src/zod_types.ts @@ -33,10 +33,13 @@ export interface IKBotOptions {  01-ai/yi-large | paid aetherwiing/mn-starcannon-12b | paid - ai21/jamba-1-5-large | paid - ai21/jamba-1-5-mini | paid - ai21/jamba-instruct | paid - jondurbin/airoboros-l2-70b | paid + agentica-org/deepcoder-14b-preview:free | free + ai21/jamba-1.6-large | paid + ai21/jamba-1.6-mini | paid + aion-labs/aion-1.0 | paid + aion-labs/aion-1.0-mini | paid + aion-labs/aion-rp-llama-3.1-8b | paid + alfredpros/codellama-7b-instruct-solidity | paid amazon/nova-lite-v1 | paid amazon/nova-micro-v1 | paid amazon/nova-pro-v1 | paid @@ -54,14 +57,29 @@ export interface IKBotOptions { anthropic/claude-3.5-sonnet-20240620 | paid anthropic/claude-3.5-sonnet-20240620:beta | paid anthropic/claude-3.5-sonnet:beta | paid + anthropic/claude-3.7-sonnet | paid + anthropic/claude-3.7-sonnet:beta | paid + anthropic/claude-3.7-sonnet:thinking | paid + anthropic/claude-opus-4 | paid + anthropic/claude-sonnet-4 | paid anthropic/claude-2 | paid anthropic/claude-2:beta | paid anthropic/claude-2.0 | paid anthropic/claude-2.0:beta | paid anthropic/claude-2.1 | paid anthropic/claude-2.1:beta | paid + arcee-ai/arcee-blitz | paid + arcee-ai/caller-large | paid + arcee-ai/coder-large | paid + arcee-ai/maestro-reasoning | paid + arcee-ai/spotlight | paid + arcee-ai/virtuoso-large | paid + arcee-ai/virtuoso-medium-v2 | paid + arliai/qwq-32b-arliai-rpr-v1:free | free openrouter/auto | paid + baidu/ernie-4.5-300b-a47b | paid cohere/command | paid + cohere/command-a | paid cohere/command-r | paid cohere/command-r-03-2024 | paid cohere/command-r-08-2024 | paid @@ -69,61 +87,82 @@ export interface IKBotOptions { cohere/command-r-plus-04-2024 | paid cohere/command-r-plus-08-2024 | paid cohere/command-r7b-12-2024 | paid - databricks/dbrx-instruct | paid - deepseek/deepseek-chat-v2.5 | paid + openrouter/cypher-alpha:free | free + deepseek/deepseek-prover-v2 | paid + deepseek/deepseek-r1-0528-qwen3-8b | paid + deepseek/deepseek-r1-0528-qwen3-8b:free | free deepseek/deepseek-chat | paid - cognitivecomputations/dolphin-mixtral-8x7b | paid + deepseek/deepseek-chat:free | free + deepseek/deepseek-chat-v3-0324 | paid + deepseek/deepseek-chat-v3-0324:free | free + deepseek/deepseek-v3-base:free | free + deepseek/deepseek-r1 | paid + deepseek/deepseek-r1:free | free + deepseek/deepseek-r1-0528 | paid + deepseek/deepseek-r1-0528:free | free + deepseek/deepseek-r1-distill-llama-70b | paid + deepseek/deepseek-r1-distill-llama-70b:free | free + deepseek/deepseek-r1-distill-llama-8b | paid + deepseek/deepseek-r1-distill-qwen-1.5b | paid + deepseek/deepseek-r1-distill-qwen-14b | paid + deepseek/deepseek-r1-distill-qwen-14b:free | free + deepseek/deepseek-r1-distill-qwen-32b | paid + deepseek/deepseek-r1-distill-qwen-7b | paid cognitivecomputations/dolphin-mixtral-8x22b | paid + cognitivecomputations/dolphin3.0-mistral-24b:free | free + cognitivecomputations/dolphin3.0-r1-mistral-24b:free | free + eleutherai/llemma_7b | paid eva-unit-01/eva-llama-3.33-70b | paid eva-unit-01/eva-qwen-2.5-32b | paid eva-unit-01/eva-qwen-2.5-72b | paid + sao10k/fimbulvetr-11b-v2 | paid alpindale/goliath-120b | paid - google/gemini-2.0-flash-thinking-exp:free | free - google/gemini-exp-1114:free | free - google/gemini-exp-1121:free | free - google/gemini-exp-1206:free | free google/gemini-flash-1.5 | paid google/gemini-flash-1.5-8b | paid - google/gemini-flash-1.5-8b-exp | paid - google/gemini-flash-1.5-exp | paid - google/gemini-2.0-flash-exp:free | free - google/gemini-pro | paid google/gemini-pro-1.5 | paid - google/gemini-pro-1.5-exp | paid - google/gemini-pro-vision | paid + google/gemini-2.0-flash-001 | paid + google/gemini-2.0-flash-exp:free | free + google/gemini-2.0-flash-lite-001 | paid + google/gemini-2.5-flash | paid + google/gemini-2.5-flash-lite-preview-06-17 | paid + google/gemini-2.5-flash-preview | paid + google/gemini-2.5-flash-preview:thinking | paid + google/gemini-2.5-flash-preview-05-20 | paid + google/gemini-2.5-flash-preview-05-20:thinking | paid + google/gemini-2.5-pro | paid + google/gemini-2.5-pro-exp-03-25 | paid + google/gemini-2.5-pro-preview-05-06 | paid + google/gemini-2.5-pro-preview | paid google/gemma-2-27b-it | paid google/gemma-2-9b-it | paid google/gemma-2-9b-it:free | free - google/learnlm-1.5-pro-experimental:free | free - google/palm-2-chat-bison | paid - google/palm-2-chat-bison-32k | paid - google/palm-2-codechat-bison | paid - google/palm-2-codechat-bison-32k | paid - huggingfaceh4/zephyr-7b-beta:free | free + google/gemma-3-12b-it | paid + google/gemma-3-12b-it:free | free + google/gemma-3-27b-it | paid + google/gemma-3-27b-it:free | free + google/gemma-3-4b-it | paid + google/gemma-3-4b-it:free | free + google/gemma-3n-e4b-it | paid + google/gemma-3n-e4b-it:free | free + inception/mercury | paid + inception/mercury-coder | paid infermatic/mn-inferor-12b | paid - inflatebot/mn-mag-mell-r1 | paid inflection/inflection-3-pi | paid inflection/inflection-3-productivity | paid + moonshotai/kimi-dev-72b:free | free + liquid/lfm-3b | paid liquid/lfm-40b | paid - lizpreciatior/lzlv-70b-fp16-hf | paid + liquid/lfm-7b | paid + meta-llama/llama-guard-3-8b | paid alpindale/magnum-72b | paid anthracite-org/magnum-v2-72b | paid anthracite-org/magnum-v4-72b | paid mancer/weaver | paid - meta-llama/llama-2-13b-chat | paid meta-llama/llama-3-70b-instruct | paid - meta-llama/llama-3-70b-instruct:nitro | paid meta-llama/llama-3-8b-instruct | paid - meta-llama/llama-3-8b-instruct:extended | paid - meta-llama/llama-3-8b-instruct:free | free - meta-llama/llama-3-8b-instruct:nitro | paid meta-llama/llama-3.1-405b | paid meta-llama/llama-3.1-405b-instruct | paid - meta-llama/llama-3.1-405b-instruct:free | free - meta-llama/llama-3.1-405b-instruct:nitro | paid meta-llama/llama-3.1-70b-instruct | paid - meta-llama/llama-3.1-70b-instruct:free | free - meta-llama/llama-3.1-70b-instruct:nitro | paid meta-llama/llama-3.1-8b-instruct | paid meta-llama/llama-3.1-8b-instruct:free | free meta-llama/llama-3.2-11b-vision-instruct | paid @@ -131,128 +170,191 @@ export interface IKBotOptions { meta-llama/llama-3.2-1b-instruct | paid meta-llama/llama-3.2-1b-instruct:free | free meta-llama/llama-3.2-3b-instruct | paid - meta-llama/llama-3.2-3b-instruct:free | free meta-llama/llama-3.2-90b-vision-instruct | paid - meta-llama/llama-3.2-90b-vision-instruct:free | free meta-llama/llama-3.3-70b-instruct | paid + meta-llama/llama-3.3-70b-instruct:free | free + meta-llama/llama-4-maverick | paid + meta-llama/llama-4-maverick:free | free + meta-llama/llama-4-scout | paid + meta-llama/llama-4-scout:free | free + meta-llama/llama-guard-4-12b | paid meta-llama/llama-guard-2-8b | paid + microsoft/mai-ds-r1:free | free + microsoft/phi-4 | paid + microsoft/phi-4-multimodal-instruct | paid + microsoft/phi-4-reasoning-plus | paid microsoft/phi-3-medium-128k-instruct | paid - microsoft/phi-3-medium-128k-instruct:free | free microsoft/phi-3-mini-128k-instruct | paid - microsoft/phi-3-mini-128k-instruct:free | free microsoft/phi-3.5-mini-128k-instruct | paid sophosympatheia/midnight-rose-70b | paid + minimax/minimax-m1 | paid + minimax/minimax-01 | paid mistralai/mistral-large | paid mistralai/mistral-large-2407 | paid mistralai/mistral-large-2411 | paid - mistralai/mistral-medium | paid nothingiisreal/mn-celeste-12b | paid mistralai/mistral-small | paid mistralai/mistral-tiny | paid - mistralai/codestral-mamba | paid + mistralai/codestral-2501 | paid + mistralai/devstral-small | paid + mistralai/devstral-small:free | free + mistralai/magistral-medium-2506 | paid + mistralai/magistral-medium-2506:thinking | paid + mistralai/magistral-small-2506 | paid mistralai/ministral-3b | paid mistralai/ministral-8b | paid mistralai/mistral-7b-instruct | paid mistralai/mistral-7b-instruct:free | free - mistralai/mistral-7b-instruct:nitro | paid mistralai/mistral-7b-instruct-v0.1 | paid mistralai/mistral-7b-instruct-v0.2 | paid mistralai/mistral-7b-instruct-v0.3 | paid + mistralai/mistral-medium-3 | paid mistralai/mistral-nemo | paid + mistralai/mistral-nemo:free | free + mistralai/mistral-small-24b-instruct-2501 | paid + mistralai/mistral-small-24b-instruct-2501:free | free + mistralai/mistral-small-3.1-24b-instruct | paid + mistralai/mistral-small-3.1-24b-instruct:free | free + mistralai/mistral-small-3.2-24b-instruct | paid + mistralai/mistral-small-3.2-24b-instruct:free | free mistralai/mixtral-8x22b-instruct | paid - mistralai/mixtral-8x7b | paid mistralai/mixtral-8x7b-instruct | paid - mistralai/mixtral-8x7b-instruct:nitro | paid mistralai/pixtral-12b | paid mistralai/pixtral-large-2411 | paid + mistralai/mistral-saba | paid + moonshotai/kimi-vl-a3b-thinking:free | free + morph/morph-v2 | paid gryphe/mythomax-l2-13b | paid - gryphe/mythomax-l2-13b:extended | paid - gryphe/mythomax-l2-13b:free | free - gryphe/mythomax-l2-13b:nitro | paid neversleep/llama-3-lumimaid-70b | paid neversleep/llama-3-lumimaid-8b | paid - neversleep/llama-3-lumimaid-8b:extended | paid neversleep/llama-3.1-lumimaid-70b | paid neversleep/llama-3.1-lumimaid-8b | paid neversleep/noromaid-20b | paid - nousresearch/nous-hermes-llama2-13b | paid + nousresearch/deephermes-3-llama-3-8b-preview:free | free nousresearch/nous-hermes-2-mixtral-8x7b-dpo | paid nousresearch/hermes-3-llama-3.1-405b | paid nousresearch/hermes-3-llama-3.1-70b | paid nousresearch/hermes-2-pro-llama-3-8b | paid nvidia/llama-3.1-nemotron-70b-instruct | paid + nvidia/llama-3.1-nemotron-ultra-253b-v1 | paid + nvidia/llama-3.1-nemotron-ultra-253b-v1:free | free + nvidia/llama-3.3-nemotron-super-49b-v1 | paid + nvidia/llama-3.3-nemotron-super-49b-v1:free | free openai/chatgpt-4o-latest | paid - openai/gpt-3.5-turbo | paid + openai/codex-mini | paid openai/gpt-3.5-turbo-0613 | paid openai/gpt-3.5-turbo-16k | paid - openai/gpt-3.5-turbo-0125 | paid - openai/gpt-3.5-turbo-1106 | paid openai/gpt-3.5-turbo-instruct | paid openai/gpt-4 | paid openai/gpt-4-0314 | paid - openai/gpt-4-32k | paid - openai/gpt-4-32k-0314 | paid openai/gpt-4-turbo | paid openai/gpt-4-1106-preview | paid openai/gpt-4-turbo-preview | paid + openai/gpt-4.1 | paid + openai/gpt-4.1-mini | paid + openai/gpt-4.1-nano | paid + openai/gpt-4.5-preview | paid openai/gpt-4o | paid openai/gpt-4o-2024-05-13 | paid openai/gpt-4o-2024-08-06 | paid openai/gpt-4o-2024-11-20 | paid openai/gpt-4o:extended | paid + openai/gpt-4o-search-preview | paid openai/gpt-4o-mini | paid openai/gpt-4o-mini-2024-07-18 | paid + openai/gpt-4o-mini-search-preview | paid openai/o1 | paid openai/o1-mini | paid openai/o1-mini-2024-09-12 | paid openai/o1-preview | paid openai/o1-preview-2024-09-12 | paid - openchat/openchat-7b | paid - openchat/openchat-7b:free | free - teknium/openhermes-2.5-mistral-7b | paid - perplexity/llama-3.1-sonar-huge-128k-online | paid - perplexity/llama-3.1-sonar-large-128k-chat | paid + openai/o1-pro | paid + openai/o3 | paid + openai/o3-mini | paid + openai/o3-mini-high | paid + openai/o3-pro | paid + openai/o4-mini | paid + openai/o4-mini-high | paid + opengvlab/internvl3-14b | paid + opengvlab/internvl3-2b | paid + all-hands/openhands-lm-32b-v0.1 | paid perplexity/llama-3.1-sonar-large-128k-online | paid - perplexity/llama-3.1-sonar-small-128k-chat | paid perplexity/llama-3.1-sonar-small-128k-online | paid - perplexity/llama-3-sonar-large-32k-chat | paid - perplexity/llama-3-sonar-large-32k-online | paid - perplexity/llama-3-sonar-small-32k-chat | paid + perplexity/r1-1776 | paid + perplexity/sonar | paid + perplexity/sonar-deep-research | paid + perplexity/sonar-pro | paid + perplexity/sonar-reasoning | paid + perplexity/sonar-reasoning-pro | paid pygmalionai/mythalion-13b | paid qwen/qwen-2-72b-instruct | paid - qwen/qwen-2-7b-instruct | paid - qwen/qwen-2-7b-instruct:free | free - qwen/qvq-72b-preview | paid + qwen/qwen-vl-max | paid + qwen/qwen-vl-plus | paid + qwen/qwen-max | paid + qwen/qwen-plus | paid + qwen/qwen-turbo | paid + qwen/qwen2.5-vl-32b-instruct | paid + qwen/qwen2.5-vl-32b-instruct:free | free + qwen/qwen2.5-vl-72b-instruct | paid + qwen/qwen2.5-vl-72b-instruct:free | free + qwen/qwen-2.5-vl-7b-instruct | paid + qwen/qwen3-14b | paid + qwen/qwen3-14b:free | free + qwen/qwen3-235b-a22b | paid + qwen/qwen3-235b-a22b:free | free + qwen/qwen3-30b-a3b | paid + qwen/qwen3-30b-a3b:free | free + qwen/qwen3-32b | paid + qwen/qwen3-32b:free | free + qwen/qwen3-8b | paid + qwen/qwen3-8b:free | free + qwen/qwq-32b | paid + qwen/qwq-32b:free | free qwen/qwq-32b-preview | paid - qwen/qwen-2-vl-72b-instruct | paid - qwen/qwen-2-vl-7b-instruct | paid qwen/qwen-2.5-72b-instruct | paid + qwen/qwen-2.5-72b-instruct:free | free qwen/qwen-2.5-7b-instruct | paid qwen/qwen-2.5-coder-32b-instruct | paid + qwen/qwen-2.5-coder-32b-instruct:free | free + featherless/qwerky-72b:free | free + rekaai/reka-flash-3:free | free undi95/remm-slerp-l2-13b | paid - undi95/remm-slerp-l2-13b:extended | paid - thedrummer/rocinante-12b | paid sao10k/l3-lunaris-8b | paid sao10k/l3-euryale-70b | paid sao10k/l3.1-euryale-70b | paid sao10k/l3.3-euryale-70b | paid + sarvamai/sarvam-m:free | free + shisa-ai/shisa-v2-llama3.3-70b:free | free raifle/sorcererlm-8x22b | paid - undi95/toppy-m-7b | paid - undi95/toppy-m-7b:free | free - undi95/toppy-m-7b:nitro | paid + thedrummer/anubis-70b-v1.1 | paid + thedrummer/anubis-pro-105b-v1 | paid + thedrummer/rocinante-12b | paid + thedrummer/skyfall-36b-v2 | paid thedrummer/unslopnemo-12b | paid - microsoft/wizardlm-2-7b | paid + thedrummer/valkyrie-49b-v1 | paid + thudm/glm-4-32b | paid + thudm/glm-4-32b:free | free + thudm/glm-z1-32b | paid + thudm/glm-z1-32b:free | free + thudm/glm-z1-rumination-32b | paid + tngtech/deepseek-r1t-chimera:free | free + undi95/toppy-m-7b | paid + scb10x/llama3.1-typhoon2-70b-instruct | paid microsoft/wizardlm-2-8x22b | paid x-ai/grok-2-1212 | paid x-ai/grok-2-vision-1212 | paid + x-ai/grok-3 | paid + x-ai/grok-3-beta | paid + x-ai/grok-3-mini | paid + x-ai/grok-3-mini-beta | paid x-ai/grok-beta | paid x-ai/grok-vision-beta | paid - xwin-lm/xwin-lm-70b | paid   OpenAI models:  babbage-002 chatgpt-4o-latest + codex-mini-latest dall-e-2 dall-e-3 davinci-002 @@ -266,11 +368,17 @@ export interface IKBotOptions { gpt-4-0125-preview gpt-4-0613 gpt-4-1106-preview - gpt-4-1106-vision-preview gpt-4-turbo gpt-4-turbo-2024-04-09 gpt-4-turbo-preview - gpt-4-vision-preview + gpt-4.1 + gpt-4.1-2025-04-14 + gpt-4.1-mini + gpt-4.1-mini-2025-04-14 + gpt-4.1-nano + gpt-4.1-nano-2025-04-14 + gpt-4.5-preview + gpt-4.5-preview-2025-02-27 gpt-4o gpt-4o-2024-05-13 gpt-4o-2024-08-06 @@ -278,19 +386,39 @@ export interface IKBotOptions { gpt-4o-audio-preview gpt-4o-audio-preview-2024-10-01 gpt-4o-audio-preview-2024-12-17 + gpt-4o-audio-preview-2025-06-03 gpt-4o-mini gpt-4o-mini-2024-07-18 gpt-4o-mini-audio-preview gpt-4o-mini-audio-preview-2024-12-17 gpt-4o-mini-realtime-preview gpt-4o-mini-realtime-preview-2024-12-17 + gpt-4o-mini-search-preview + gpt-4o-mini-search-preview-2025-03-11 + gpt-4o-mini-transcribe + gpt-4o-mini-tts gpt-4o-realtime-preview gpt-4o-realtime-preview-2024-10-01 gpt-4o-realtime-preview-2024-12-17 + gpt-4o-realtime-preview-2025-06-03 + gpt-4o-search-preview + gpt-4o-search-preview-2025-03-11 + gpt-4o-transcribe + gpt-image-1 + o1 + o1-2024-12-17 o1-mini o1-mini-2024-09-12 o1-preview o1-preview-2024-09-12 + o1-pro + o1-pro-2025-03-19 + o3-mini + o3-mini-2025-01-31 + o4-mini + o4-mini-2025-04-16 + o4-mini-deep-research + o4-mini-deep-research-2025-06-26 omni-moderation-2024-09-26 omni-moderation-latest text-embedding-3-large